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A Cursory Look at Lexis+ AI

Guest post by Justin Tung [1] What Lexis+ AI is, and What it Promises On Friday, November 17, 2023, Lexis sent an email announcing access to its new generative Artificial Intelligence (AI) tool called Lexis+ AI. It promises “the fastest… Continue Reading →

Can Lexis+ AI pass 1L year? An experiment.

This fall, Lexis+ AI will be attempting final exams in Torts, Contracts, Civil Procedure, Property, Legal Research, Professional Responsibility, and Environmental Law alongside the law students at the University of Wyoming College of Law. The catch? The professors will not… Continue Reading →

Productionizing and scaling Python ML workloads simply | Ray

Scale your compute-intensive Python workloads. From reinforcement learning to large-scale model serving, Ray makes the power of distributed compute easy and accessible to every engineer. Source: Productionizing and scaling Python ML workloads simply | Ray Read the original story

💥 Training Neural Nets on Larger Batches: Practical Tips for 1-GPU, Multi-GPU & Distributed setups | by Thomas Wolf | HuggingFace | Medium

Training neural networks with larger batches in PyTorch: gradient accumulation, gradient checkpointing, multi-GPUs and distributed setups… Source: Training Neural Nets on Larger Batches: Practical Tips for 1-GPU, Multi-GPU & Distributed setups | by Thomas Wolf | HuggingFace | Medium Read… Continue Reading →

Building a Multi-User Chatbot with Langchain and Pinecone in Next.JS

In this example, we’ll imagine that our chatbot needs to answer questions about the content of a website. To do that, we’ll need a way to store and access that information when the chatbot generates its response. Source: Building a… Continue Reading →

AudioCraft: A simple one-stop shop for audio modeling

AudioCraft is a simple framework that generates high-quality, realistic audio and music from text-based user inputs after training on raw audio signals as opposed to MIDI or piano rolls. Source: AudioCraft: A simple one-stop shop for audio modeling Read the… Continue Reading →

Notes on better search 8/18/2023

Goal: better, more focused search for www.cali.org. In general the plan is to scrape the site to a vector database, enable embeddings of the vector db in Llama 2, provide API endpoints to search/find things. Hints and pointers. Llama2-webui –… Continue Reading →

Lexis AI versus ChatGPT-4

I am sure by now many of you have seen the commercial for Lexis AI . The action themed pop music, dramatic screenshot closeups, really gets a researcher in the mood. Watching the technical developments of Law Startups reminds me… Continue Reading →

Demystifying Text Data with the unstructured Python Library | Saeed Esmaili

In the world of data, textual data stands out as being particularly complex. It doesn’t fall into neat rows and columns like numerical data does. As a side project, I’m in the process of developing my own personal AI assistant…. Continue Reading →

AI Reading List 7/6/2023

What I’m reading today. Researchers from Peking University Introduce ChatLaw: An Open-Source Legal Large Language Model with Integrated External Knowledge Bases — This includes links to the article and Github repo Why Embeddings Usually Outperform TF-IDF: Exploring the Power of… Continue Reading →

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