Skip to content

AI Frameworks & APIs

AI framework and API tutorials — OpenAI, Anthropic Claude, LangChain, LlamaIndex, CrewAI, Hugging Face, Google AI, Cohere, Ollama, and model deployment guides

31 Published

Published Topics

Langchain Chains

✓ Live

OpenAI API Guide — GPT-4, DALL-E, and Whisper Integration

Learn OpenAI API integration: GPT-4 chat completions, streaming, function calling, embeddings, DALL-E image generation, Whisper speech-to-text, token counting, and rate limits.

✓ Live

Anthropic Claude API Guide — Prompt Engineering and Integration

Learn Anthropic Claude API integration: Messages API, system prompts, tool use, extended thinking, safety features, and comparison with OpenAI GPT-4.

✓ Live

LangChain Guide — Building LLM Applications with Chains and Agents

Learn LangChain: chains, agents, tools, memory, document loaders, vector stores, and RAG (retrieval augmented generation) for building production LLM applications.

✓ Live

Mistral AI Guide — Le Chat API and Open-Source Models

Learn Mistral AI integration: Mistral Large, Small, Nemo models, Le Chat API, embedding models, function calling, and building applications with open-source French AI.

✓ Live

Mastra AI Framework Guide — Building AI Agents and Workflows

Learn Mastra AI framework: building agents, workflows, tools, memory, RAG, LLM integration, deployment patterns, and production best practices.

✓ Live

Anthropic Claude API: Complete Developer Guide

Complete Anthropic Claude API developer guide — Messages API, system prompts, temperature/top_p/max_tokens, streaming, tool use/function calling, vision, prompt caching, and cost optimization.

✓ Live

DeepSeek API: Complete Integration Guide

Complete DeepSeek API integration guide — chat completions, DeepSeek-R1 reasoning model, code generation, API parameters, streaming, cost comparison with OpenAI, and self-hosting options.

✓ Live

Mistral AI: Models and API Guide

Complete Mistral AI guide — Mistral 7B, Mixtral 8x7B, Mistral Large models, API access via La Plateforme, self-hosting with Ollama/vLLM, quantization (GGUF/GPTQ), function calling, embeddings, and fine-tuning.

✓ Live

Vector Databases — Embeddings, Similarity Search, Indexing & RAG Pipelines

Learn vector databases: embeddings (OpenAI, Cohere, HuggingFace), Pinecone, Weaviate, Chroma, Qdrant, Milvus, similarity search (cosine, euclidean, dot product), hybrid search, metadata filtering, RAG pipelines, and indexing methods (HNSW, IVF, PQ).

✓ Live

Fine-Tuning LLMs — Full Fine-Tuning vs PEFT, LoRA, Dataset Prep, Training Frameworks & Deployment

Learn fine-tuning LLMs: full fine-tuning vs PEFT (LoRA, QLoRA, Adapters), dataset preparation (format, quality, dedup, augmentation), training frameworks (Axolotl, Unsloth, HuggingFace TRL), evaluation (perplexity, BLEU, ROUGE), deployment with vLLM/TGI/Ollama, overfitting prevention, and cost considerations.

✓ Live

AI Agents — Architecture, LangGraph, Multi-Agent Systems, Tool Use, Planning, Memory & Production Deployment

Learn AI agents: agent architecture (perception, reasoning, action), AutoGPT, CrewAI, LangGraph (state graphs, nodes, edges), multi-agent systems, tool use (function calling, custom tools), planning (ReAct, Plan-and-Execute), memory (short-term, long-term, entity), error recovery, production deployment, and safety.

✓ Live

CrewAI — Multi-Agent AI Framework Guide

Learn how to build multi-agent AI systems with CrewAI: define agents with roles and goals, assign tasks, manage workflows, and orchestrate collaborative LLM-powered teams.

✓ Live

LlamaIndex — RAG Framework Complete Guide

Learn how to build retrieval-augmented generation (RAG) systems with LlamaIndex: index documents, query with context, manage vector stores, and create data-powered AI applications.

✓ Live

Hugging Face Transformers — Complete Guide

Learn how to use Hugging Face Transformers for NLP, computer vision, and audio: loading pretrained models, fine-tuning on custom data, pipeline APIs, and deployment to production.

✓ Live

Google AI — Gemini API & Vertex AI Guide

Learn Google AI integration with Gemini API and Vertex AI: multimodal models, text generation, vision, embeddings, safety filters, and production deployment strategies.

✓ Live

Cohere API — NLP & Embeddings Complete Guide

Learn Cohere API integration for NLP: text generation, semantic embeddings, classification, reranking, summarization, and retrieval-augmented generation (RAG).

✓ Live

Replicate — Run Open-Source AI Models Guide

Learn Replicate API for running open-source AI models: Llama, Stable Diffusion, Whisper, image generation, fine-tuning, webhooks, and production deployment at scale.

✓ Live

Together AI — Distributed AI Inference Guide

Learn Together AI platform for distributed inference: Llama 3, Mixtral, DeepSeek, text generation, embeddings, fine-tuning, and production deployment with low latency.

✓ Live

Ollama — Run LLMs Locally Complete Guide

Learn Ollama for running LLMs locally: installing models like Llama 3 and Mistral, building chat and embedding applications, optimizing performance, and creating custom Modelfiles.

✓ Live

Anthropic Claude API Guide — Chat, Vision, Tool Use, and Streaming

Learn Anthropic Claude API integration: Messages API chat completions, streaming, tool use, system prompts, vision analysis, prompt caching, and best practices.

✓ Live

All 21 topics in AI Frameworks & APIs — Complete Guide are published.