Learn how to build a chat application with Streamlit and Neo4j in our latest tutorial. We'll guide you through setting up Docker, using an open source LLM, and managing chat histories with Neo4j. Perfect for both beginners, this post provides all the tools needed to create an AI-enhanced chat application. Dive into the code and start building today!

Learn how to create a user-friendly chat application with Streamlit and Langchain, integrating semantic search for enhanced interactions.

This blog post explores constructing a semantic search system using FAISS and Sentence Transformers, focusing on processing, indexing, and querying documents based on semantic content. It offers a step-by-step guide from data preparation to implementing a retrieval-augmented runner for nuanced search capabilities.

Explore how the combination of semantic search and large language models (LLMs) provides powerful tools for organizations to sift through unstructured data, enhancing understanding and insights.

Hyperparameter tuning is akin to adjusting settings for optimal performance, crucial in refining machine learning models for better accuracy and efficiency.

The UK's new framework outlines ten core principles for the safe and responsible use of generative AI in government and public sector organisations, aiming to enhance productivity while ensuring ethical practices.

Ollama offers a straightforward way to run Large Language Models like GPT and BERT locally via Docker, bypassing the need for cloud services and enabling direct access from personal hardware.

Mozilla-Ocho's llamafile project revolutionizes access to Large Language Models (LLMs) by enabling easy local operation on various systems, democratizing the use of advanced AI technologies.