<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Cookbook on AI Knowledge Base</title><link>https://learn-ai.blindshot.kz/content_type/cookbook/</link><description>Recent content in Cookbook on AI Knowledge Base</description><generator>Hugo</generator><language>en-us</language><atom:link href="https://learn-ai.blindshot.kz/content_type/cookbook/index.xml" rel="self" type="application/rss+xml"/><item><title>Agent User Interaction (AG-UI)</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/examples/ag-ui/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/examples/ag-ui/_overview/</guid><description/></item><item><title>Assistant examples</title><link>https://learn-ai.blindshot.kz/docs/pinecone/examples/assistant/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/examples/assistant/</guid><description/></item><item><title>Audio With Weave</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/audio_with_weave/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/audio_with_weave/</guid><description>Learn how to use audio with weave with W&amp;amp;B Weave</description></item><item><title>Bank support</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/examples/bank-support/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/examples/bank-support/_overview/</guid><description/></item><item><title>Chain Of Density</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/chain_of_density/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/chain_of_density/</guid><description>Learn how to use chain of density with W&amp;amp;B Weave</description></item><item><title>Chat App with FastAPI</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/examples/chat-app/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/examples/chat-app/_overview/</guid><description/></item><item><title>Checkpoints and Resume</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/training-api/cookbook/checkpoints/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/training-api/cookbook/checkpoints/</guid><description>Save training progress, resume from failures, and promote checkpoints to deployable models — driven by the recipe.</description></item><item><title>Code Samples</title><link>https://learn-ai.blindshot.kz/docs/a2a/google/a2a/tree/main/samples/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/a2a/google/a2a/tree/main/samples/</guid><description>Implementation examples in various languages</description></item><item><title>Codegen</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/codegen/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/codegen/</guid><description>Learn how to use codegen with W&amp;amp;B Weave</description></item><item><title>Cohere and LangChain (Integration Guide)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/cohere-and-langchain/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/cohere-and-langchain/</guid><description>Integrate Cohere with LangChain for advanced chat features, RAG, embeddings, and reranking; this guide includes code examples for each feature.</description></item><item><title>Cohere Cookbooks: Build AI Agents and Solutions</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/cookbooks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/cookbooks/</guid><description>Get started with Cohere&amp;rsquo;s cookbooks to build agents, QA bots, perform searches, and more, all organized by category.</description></item><item><title>Cohere Tools on LangChain (Integration Guide)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/tools-on-langchain/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/tools-on-langchain/</guid><description>Explore code examples for multi-step and single-step tool usage in chatbots, harnessing internet search and vector storage.</description></item><item><title>Collect and track datasets</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/core-types/datasets/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/guides/core-types/datasets/</guid><description>Organize, collect, track, and version examples for LLM application evaluation</description></item><item><title>Cookbook: Distillation</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/training-api/cookbook/distillation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/training-api/cookbook/distillation/</guid><description>Single-teacher OPD and routed multi-teacher policy distillation with cookbook recipes.</description></item><item><title>Cookbook: Reinforcement Learning</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/training-api/cookbook/rl/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/training-api/cookbook/rl/</guid><description>Async RL on Fireworks — write a rollout function, the recipe owns the loop (gate, advantage, weight sync, KL/TIS, PPO, checkpoints). Runs async or fully synchronous.</description></item><item><title>Cookbook: SFT</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/training-api/cookbook/sft/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/training-api/cookbook/sft/</guid><description>Supervised fine-tuning via the cookbook&amp;rsquo;s sft_loop recipe.</description></item><item><title>Cookbooks</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/cookbooks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/cookbooks/</guid><description>Explore a range of AI guides and get started with Cohere&amp;rsquo;s generative platform, ready-made and best-practice optimized.</description></item><item><title>Cookbooks</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/examples/cookbooks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/examples/cookbooks/</guid><description>Interactive Jupyter notebooks demonstrating advanced use cases and best practices with Fireworks AI</description></item><item><title>Courses</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/examples/introduction/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/examples/introduction/</guid><description>Standalone end-to-end examples showing how to use Fireworks to solve real-world use cases</description></item><item><title>CrewAI Examples</title><link>https://learn-ai.blindshot.kz/docs/crewai/en/examples/example/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/crewai/en/examples/example/</guid><description>Explore curated examples organized by Crews, Flows, Integrations, and Notebooks.</description></item><item><title>Custom Model Cost</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/custom_model_cost/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/custom_model_cost/</guid><description>Learn how to use custom model cost with W&amp;amp;B Weave</description></item><item><title>Data Analyst</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/examples/data-analyst/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/examples/data-analyst/_overview/</guid><description/></item><item><title>download the validation and reformat script</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/guides/finetuning_sections/_03_e2e_examples/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/guides/finetuning_sections/_03_e2e_examples/</guid><description>Download the reformat_data.py script to validate and reformat datasets for Mistral API fine-tuning</description></item><item><title>DSPy Prompt Optimization</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/dspy_prompt_optimization/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/dspy_prompt_optimization/</guid><description>Learn how to use dspy prompt optimization with W&amp;amp;B Weave</description></item><item><title>End-to-end example of RAG with Chat, Embed, and Rerank</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/rag-complete-example/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/rag-complete-example/</guid><description>Guide on using Cohere&amp;rsquo;s Retrieval Augmented Generation (RAG) capabilities covering the Chat, Embed, and Rerank endpoints (API v2).</description></item><item><title>Example Clients</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/clients/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/clients/</guid><description>A list of applications that support MCP integrations</description></item><item><title>Example data format</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/example-data-format/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/example-data-format/</guid><description/></item><item><title>Example Gallery</title><link>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/examples/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/agents-sdk/examples/</guid><description>Task-oriented examples that demonstrate agent loops, tool usage, guardrails, and integration patterns.</description></item><item><title>Example reports</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/reports/reports-gallery/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/reports/reports-gallery/</guid><description>Reports gallery</description></item><item><title>Example Servers</title><link>https://learn-ai.blindshot.kz/docs/anthropic/mcp/examples/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/mcp/examples/</guid><description>A list of example servers and implementations</description></item><item><title>Example tables</title><link>https://learn-ai.blindshot.kz/docs/wandb/models/tables/tables-gallery/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/models/tables/tables-gallery/</guid><description>Examples of W&amp;amp;B Tables</description></item><item><title>Examples</title><link>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/example_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/trl/v1.5.1/example_overview/</guid><description/></item><item><title>Examples &amp; Patterns</title><link>https://learn-ai.blindshot.kz/docs/chroma/cloud/search-api/examples/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/chroma/cloud/search-api/examples/</guid><description>Complete end-to-end examples demonstrating real-world use cases of the Search API.</description></item><item><title>Feedback Prod</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/feedback_prod/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/feedback_prod/</guid><description>Learn how to use feedback prod with W&amp;amp;B Weave</description></item><item><title>Finetuning on Cohere's Platform</title><link>https://learn-ai.blindshot.kz/docs/cohere/page/convfinqa-finetuning-wandb/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/page/convfinqa-finetuning-wandb/</guid><description>An example of finetuning using Cohere&amp;rsquo;s platform and a financial dataset.</description></item><item><title>Flight booking</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/examples/flight-booking/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/examples/flight-booking/_overview/</guid><description/></item><item><title>Frontend prompt instructions</title><link>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/frontend-prompt/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/openai/api/api/docs/guides/frontend-prompt/</guid><description>Example prompt instructions for frontend work, written for GPT-5.5.</description></item><item><title>How to improve your evaluator with few-shot examples</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/create-few-shot-evaluators/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/create-few-shot-evaluators/</guid><description/></item><item><title>HuggingFace Dataset Evaluations</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/hf_dataset_evals/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/hf_dataset_evals/</guid><description>Learn how to use huggingface dataset evaluations with W&amp;amp;B Weave</description></item><item><title>Implement a CI/CD pipeline using LangSmith Deployment and Evaluation</title><link>https://learn-ai.blindshot.kz/docs/langchain/langsmith/cicd-pipeline-example/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/langchain/langsmith/cicd-pipeline-example/</guid><description/></item><item><title>Import From Csv</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/import_from_csv/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/import_from_csv/</guid><description>Learn how to use import from csv with W&amp;amp;B Weave</description></item><item><title>Introduction to Evaluations</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/intro_to_weave_hello_eval/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/intro_to_weave_hello_eval/</guid><description>Learn how to use introduction to evaluations with W&amp;amp;B Weave</description></item><item><title>Introduction to Traces</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/intro_to_weave_hello_trace/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/intro_to_weave_hello_trace/</guid><description>Learn how to use introduction to traces with W&amp;amp;B Weave</description></item><item><title>Library</title><link>https://learn-ai.blindshot.kz/docs/anthropic/platform/resources/prompt-library/library/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/anthropic/platform/resources/prompt-library/library/</guid><description>&lt;p&gt;Anthropic&amp;rsquo;s prompt library is one of the fastest ways to internalize effective prompting patterns for Claude. Rather than reading it cover-to-cover, focus on prompts in your domain and study the structural techniques they use &amp;ndash; XML tags for delineation, role-setting in the system prompt, and explicit output format instructions. Pay attention to how each example balances specificity with flexibility; overly rigid prompts tend to break when inputs vary. These curated examples also serve as a useful baseline when benchmarking your own prompts against known-good patterns.&lt;/p&gt;</description></item><item><title>Multi Agent Structured Output</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/multi-agent-structured-output/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/multi-agent-structured-output/</guid><description>Learn how to use multi agent structured output with W&amp;amp;B Weave</description></item><item><title>NotDiamond Custom Routing</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/notdiamond_custom_routing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/notdiamond_custom_routing/</guid><description>Learn how to use notdiamond custom routing with W&amp;amp;B Weave</description></item><item><title>Notebooks</title><link>https://learn-ai.blindshot.kz/docs/pinecone/examples/notebooks/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/examples/notebooks/</guid><description/></item><item><title>Online Monitoring</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/online_monitoring/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/online_monitoring/</guid><description>Learn how to use online monitoring with W&amp;amp;B Weave</description></item><item><title>Other resources</title><link>https://learn-ai.blindshot.kz/docs/mistral/docs/guides/other-resources/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/mistral/docs/guides/other-resources/</guid><description>Explore Mistral AI Cookbook for code examples, community contributions, and third-party tool integrations</description></item><item><title>Parameter types for tool use (function calling)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/tool-use-parameter-types/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/tool-use-parameter-types/</guid><description>Guide on using structured outputs with tool parameters in the Cohere Chat API. Includes guide on supported parameter types and usage examples (API v2).</description></item><item><title>Parameter Types in Structured Outputs (JSON)</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/parameter-types-in-json/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/parameter-types-in-json/</guid><description>This page shows usage examples of the JSON Schema parameter types supported in Structured Outputs (JSON).</description></item><item><title>PII Data Handling</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/pii/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/pii/</guid><description>Learn how to use pii data handling with W&amp;amp;B Weave</description></item><item><title>Prompt Library</title><link>https://learn-ai.blindshot.kz/docs/deepseek/prompt-library/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/prompt-library/</guid><description/></item><item><title>Pydantic Model</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/examples/pydantic-model/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/examples/pydantic-model/_overview/</guid><description/></item><item><title>Question Graph</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/examples/question-graph/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/examples/question-graph/_overview/</guid><description/></item><item><title>RAG</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/examples/rag/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/examples/rag/_overview/</guid><description/></item><item><title>Sample apps</title><link>https://learn-ai.blindshot.kz/docs/pinecone/examples/sample-apps/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pinecone/examples/sample-apps/</guid><description/></item><item><title>Sample Methods</title><link>https://learn-ai.blindshot.kz/docs/a2a/blog/a2a-sample-methods-and-json-responses/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/a2a/blog/a2a-sample-methods-and-json-responses/</guid><description>Comprehensive examples of protocol methods and responses</description></item><item><title>Sample Methods</title><link>https://learn-ai.blindshot.kz/docs/a2a/docs/guide/a2a-sample-methods-and-json-responses/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/a2a/docs/guide/a2a-sample-methods-and-json-responses/</guid><description>Comprehensive examples</description></item><item><title>Scorers As Guardrails</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/scorers_as_guardrails/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/scorers_as_guardrails/</guid><description>Learn how to use scorers as guardrails with W&amp;amp;B Weave</description></item><item><title>Semantic Search with Embeddings</title><link>https://learn-ai.blindshot.kz/docs/cohere/docs/semantic-search-embed/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/cohere/docs/semantic-search-embed/</guid><description>Examples on how to use the Embed endpoint to perform semantic search (API v2).</description></item><item><title>Setup</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/examples/setup/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/examples/setup/_overview/</guid><description/></item><item><title>Simple Validation</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/evals/examples/simple-validation/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/evals/examples/simple-validation/_overview/</guid><description/></item><item><title>Slack Lead Qualifier with Modal</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/examples/slack-lead-qualifier/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/examples/slack-lead-qualifier/_overview/</guid><description/></item><item><title>SQL Generation</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/examples/sql-gen/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/examples/sql-gen/_overview/</guid><description/></item><item><title>Stream markdown</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/examples/stream-markdown/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/examples/stream-markdown/_overview/</guid><description/></item><item><title>Stream whales</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/examples/stream-whales/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/examples/stream-whales/_overview/</guid><description/></item><item><title>The Cookbook</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/training-api/cookbook/overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/training-api/cookbook/overview/</guid><description>Ready-to-run training recipes for GRPO, DPO, SFT, and distillation built on top of the Training API.</description></item><item><title>Thinking Mode Api Example Non Streaming</title><link>https://learn-ai.blindshot.kz/docs/deepseek/guides/thinking_mode_api_example_non_streaming/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/guides/thinking_mode_api_example_non_streaming/</guid><description/></item><item><title>Thinking Mode Api Example Streaming</title><link>https://learn-ai.blindshot.kz/docs/deepseek/guides/thinking_mode_api_example_streaming/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/deepseek/guides/thinking_mode_api_example_streaming/</guid><description/></item><item><title>Together Cookbooks &amp; Example Apps</title><link>https://learn-ai.blindshot.kz/docs/together-ai/examples/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/together-ai/examples/</guid><description>Explore our vast library of open-source cookbooks &amp;amp; example apps</description></item><item><title>Trace and Evaluate a Computer Vision Pipeline with Weave</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/ocr-pipeline/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/ocr-pipeline/</guid><description>Learn how to use trace and evaluate a computer vision pipeline with weave with W&amp;amp;B Weave</description></item><item><title>Usage Examples</title><link>https://learn-ai.blindshot.kz/docs/wandb/inference/examples/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/inference/examples/</guid><description>Learn how to use W&amp;amp;B Inference with practical code examples</description></item><item><title>Use the Weave Service API to trace</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/weave_via_service_api/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/weave_via_service_api/</guid><description>Learn how to use Weave tracing via service api with W&amp;amp;B Weave</description></item><item><title>Use Weave with W&amp;B Models</title><link>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/models_and_weave_integration_demo/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/wandb/weave/cookbooks/models_and_weave_integration_demo/</guid><description>Learn how to use use weave with w&amp;amp;b models with W&amp;amp;B Weave</description></item><item><title>Weather agent</title><link>https://learn-ai.blindshot.kz/docs/pydantic-ai/examples/weather-agent/_overview/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/pydantic-ai/examples/weather-agent/_overview/</guid><description/></item><item><title>Weight sync</title><link>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/training-api/cookbook/weight-sync/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://learn-ai.blindshot.kz/docs/fireworks-ai/fine-tuning/training-api/cookbook/weight-sync/</guid><description>How a trainer&amp;rsquo;s updated weights reach the serving deployment during RL training.</description></item></channel></rss>