AI-Assisted Exploration and Discovery of All ICML 2023 Papers with PocketLLM

Dive into more than 1800 ICML Papers Instantly on Your Personal Device via RAG (Retrieval Augmented Generation) The International Conference on Machine Learning (ICML) 2023, the leading event in the machine learning world this year, is starting this week in Hawaii. AI is currently the hottest trend, and enthusiasts worldwide are eager to stay updated […]

Introducing PocketLLM Beta: The Ultimate GenAI Hub for Windows and Mac Users

A Private On-Device Neural Database for Personalized Retrieval-Augmented Generation (RAG) with Optional Integration with ChatGPT. Download here.Today, we are excited to announce the launch of the beta version of ThirdAI’s PocketLLM, a free, user-friendly LLM (Large Language Model) app for Mac and Windows. PocketLLM combines ThirdAI’s unique neural database technology with real-time fine-tuning and reinforcement […]

Neural Databases: A Next Generation Context Retrieval System for Building Specialized AI-Agents with ChatGPT — (Part 2/3)

This post is a continuation of the blog “Understanding the Fundamental Limitations of Vector-Based Retrieval for Building LLM-Powered AI-Agents— (Part 1/3),” where we highlighted the shortcomings of a decoupled architecture of (1) embedding generation followed by (2) vector search using approximate near neighbor (ANN) search. We discussed how the cosine similarity between vector embeddings produced […]

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

Convert your text data into a private, searchable, and interactive knowledge-base using the power of LLMs. No hallucinations or data transfer. Runs without internet access. Download the app from this url: https://www.thirdai.com/pocketllm/ https://www.youtube.com/watch?v=mp3_8GJV5kYPocketLLM | Private document searchThe power of next-generation deep learning technology is now available on your laptop. With dynamic sparsity, ThirdAI delivers the […]

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

If you are not “pre-training” LLMs on your local “domain specific” text corpus, you are likely seeing sub-optimal results for your application. LLMs and Neural Scaling Laws Large Language Models (LLMs), a famous illustration being ChatGPT, are now a must need strategy in most enterprises and industry verticals. LLMs are massively large neural networks for […]

Generative AI’s Dark Horse: Query Reformulation

The future of e-commerce product search looks promising with language models, but privacy concerns and the high latencies of these models currently prohibit widespread adoption. We need smarter algorithms to change the fundamental economics of large-scale AI.The remarkable capabilities of ChatGPT and Generative AI have triggered a flurry of discussions around their potential use cases. […]

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

Two roads to Large Language Models (LLMs): CPUs with “dynamic sparsity” OR specialized hardware. A Popular Task: Leveraging Domain-Specific Unstructured Text for AI At ThirdAI, we have worked with several customers trying to leverage AI over millions of domain-specific unstructured texts to automate key decision-making processes. The first step in this direction is to generate […]

Improving the Productivity of Data Scientists with Universal Deep Transformers (UDT)

Understanding the fundamental prototype-to-production gap inherent in AI development. How neural scaling laws with algorithmic advancements in sparsity-based training and inference opens the door for a very optimistic future. A recent venturebeat article suggests that 87% of data science projects never make it into production or deployment. One of the primary reasons for this grim […]