Rag

LLM Apps Framework

Posted by Fede Nolasco | Jun 16, 2024

1littlecoder presents a framework for building LLM applications, from basic Q&A systems to advanced multi-agent setups and the future of LLM operating systems.

Limits of Current LLMs

Posted by Fede Nolasco | Jun 13, 2024

Edan Meyer discusses the limitations of current LLMs, emphasizing the need for continual learning to solve complex, cutting-edge problems beyond in-context learning and RAG.

Prompt Engineering, RAG, Fine-tuning

Posted by Fede Nolasco | Jun 4, 2024

Discover the benefits of Prompt Engineering, RAG, and Fine-tuning in AI. Learn how to combine these techniques for enhanced AI project outcomes.

Advanced Database Interaction with LLMs

Posted by Fede Nolasco | May 9, 2024

Advanced database interaction with LLMs, where SQL, vector, and graph databases meet precise querying and complex problem-solving.

Explore Cohere’s RAG Toolkit

Posted by Fede Nolasco | Mar 30, 2024 | Ai Platform, API Service for LLM, LLM Management, RAG, TLRD

iscover Cohere’s RAG toolkit. Experience enhanced productivity with LLM. Secure, customizable, and cost-effective solutions await you.

All-in-One Embeddings Database – TxtAI

Posted by Fede Nolasco | Mar 18, 2024 | RAG, TLRD

Learn how to utilize TxtAI for semantic search, language model orchestration, and workflows, including creating, indexing, saving, querying embeddings, and performing various search types like hybrid, graph, and rag-based searches. Master language model pipelines and workflows with TxtAI through YAML files.