Understanding the Fundamental Limitations of Vector-Based Retrieval for Building LLM-Powered Chatbots— (Part 1/3)

Neural Databases: A Next Generation Context Retrieval System for Building Specialized AI-Agents with ChatGPT — (Part…

Demystifying LLM-Driven Search: Stop Comparing Embeddings or VectorDBs and Start Fine-Tuning

ThirdAI’s Private and Personalizable Neural Database: Enhancing Retrieval-Augmented Generation (Part 3/3)

Are You Pre-training your RAG Models on Your Raw Text?

Retrieval-Augmented Generation (RAG) experiences significant enhancements through targeted pre-training on raw text. Currently, only ThirdAI’s NeuralDB offers push-button pre-training and/or fine-tuning capabilities for any text during…

Introducing the World’s First Generative LLM Pre-Trained Only on CPUs: Meet ThirdAI’s BOLT2.5B

ThirdAI’s BOLT2.5B was pre-trained on a mere 10 Intel Sapphire Rapids CPUs with dual socket 56 core, consuming 2 Billion Tokens each day. The model is fine-tunable on…

GPT vs Domain Specialized LLMs: Jack of All Trades Vs Master of Few.

ThirdAI’s PocketLLM: A Completely Free App for AI-Assisted Document Management on Windows and Mac

OpenAI vs ThirdAI: A Case Study of Capabilities, Cost, and Carbon

RAG Challenge Dataset I— Can Advanced RAG Beat NeuralDBs Online-Tuning?