LLM Tutorials

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Anthropic's Contextual Retrieval: A Guide With Implementation

Learn how Anthropic's contextual retrieval improves the accuracy of retrieval systems and how to implement it step-by-step.

Ryan Ong

29 November 2024

Microsoft's TinyTroupe: A Guide With Examples

Learn how to use Microsoft’s TinyTroupe to simulate interactions between AI personas with distinct characteristics for different purposes.

Hesam Sheikh Hassani

28 November 2024

Pixtral Large: A Guide With Examples

Learn how to use Mistral’s Pixtral Large via Le Chat or access it programmatically through the API on La Plateforme.

Aashi Dutt

27 November 2024

Late Chunking for RAG: Implementation With Jina AI

Learn how to implement late chunking with Jina AI to improve context preservation and retrieval accuracy in RAG applications.

Ryan Ong

20 November 2024

Prompt Caching: A Guide With Code Implementation

Learn what prompt caching is and how to use it with Ollama to optimize LLM interactions, reduce costs, and improve performance in AI apps.

Aashi Dutt

19 November 2024

Recursive Retrieval for RAG: Implementation With LlamaIndex

Learn how to implement recursive retrieval in RAG systems using LlamaIndex to improve the accuracy and relevance of retrieved information, especially for large document collections.

Ryan Ong

13 November 2024

HumanEval: A Benchmark for Evaluating LLM Code Generation Capabilities

Learn how to evaluate your LLM on code generation capabilities with the Hugging Face Evaluate library.

Abid Ali Awan

13 November 2024

Speculative Decoding: A Guide With Implementation Examples

Learn what speculative decoding is, how it works, when to use it, and how to implement it using Gemma2 models.

Aashi Dutt

8 November 2024

How to Use GPT-4o Audio Preview With LangChain and ChatOpenAI

Learn how to use OpenAI’s gpt-4o-audio-preview model with LangChain to build voice-enabled applications that include audio input, transcription, and generation.