AI/ML

AI/ML

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Building Trustworthy AI - Schneier on Security
Building Trustworthy AI - Schneier on Security
Realistically, we should all be preparing for a world where AI is not trustworthy. Because AI tools can be so incredibly useful, they will increasingly pervade our lives, whether we trust them or not. Being a digital citizen of the next quarter of the twenty-first century will require learning the basic ins and outs of LLMs so that you can assess their risks and limitations for a given use case. This will better prepare you to take advantage of AI tools, rather than be taken advantage by them.
·schneier.com·
Building Trustworthy AI - Schneier on Security
Transformers Agent
Transformers Agent
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
·huggingface.co·
Transformers Agent
Introducing MPT-7B: A New Standard for Open-Source, Commercially Usable LLMs
Introducing MPT-7B: A New Standard for Open-Source, Commercially Usable LLMs
Introducing MPT-7B, the latest entry in our MosaicML Foundation Series. MPT-7B is a transformer trained from scratch on 1T tokens of text and code. It is open source, available for commercial use, and matches the quality of LLaMA-7B. MPT-7B was trained on the MosaicML platform in 9.5 days with zero human intervention at a cost of ~$200k. Starting today, you can train, finetune, and deploy your own private MPT models, either starting from one of our checkpoints or training from scratch. For inspiration, we are also releasing three finetuned models in addition to the base MPT-7B: MPT-7B-Instruct, MPT-7B-Chat, and MPT-7B-StoryWriter-65k+, the last of which uses a context length of 65k tokens!
·mosaicml.com·
Introducing MPT-7B: A New Standard for Open-Source, Commercially Usable LLMs
LangChain Retrieval QA Over Multiple Files with ChromaDB
LangChain Retrieval QA Over Multiple Files with ChromaDB
Colab: https://colab.research.google.com/drive/1gyGZn_LZNrYXYXa-pltFExbptIe7DAPe?usp=sharing In this video I look at how to load multiple docs into a single Vectors Store retriever and then do QA over all the docs and return their source info along with answers.
·youtube.com·
LangChain Retrieval QA Over Multiple Files with ChromaDB
Will A.I. Become the New McKinsey?
Will A.I. Become the New McKinsey?
As it’s currently imagined, the technology promises to concentrate wealth and disempower workers. Is an alternative possible?
·newyorker.com·
Will A.I. Become the New McKinsey?
VardaGPT/STORY.md at master · ixaxaar/VardaGPT
VardaGPT/STORY.md at master · ixaxaar/VardaGPT
Imagine a bunch of product managers sitting in a sprint planning meeting where, after signing off on the tasks to be done this sprint and starting the sprint, ChatGPT was deployed on those tasks.
·github.com·
VardaGPT/STORY.md at master · ixaxaar/VardaGPT
vasilecampeanu/obsidian-weaver: Weaver is a useful Obsidian plugin that integrates ChatGPT/GPT-3 into your note-taking workflow. This plugin makes it easy to access AI-generated suggestions and insights within Obsidian, helping you improve your writing and brainstorming process.
vasilecampeanu/obsidian-weaver: Weaver is a useful Obsidian plugin that integrates ChatGPT/GPT-3 into your note-taking workflow. This plugin makes it easy to access AI-generated suggestions and insights within Obsidian, helping you improve your writing and brainstorming process.
Weaver is a useful Obsidian plugin that integrates ChatGPT/GPT-3 into your note-taking workflow. This plugin makes it easy to access AI-generated suggestions and insights within Obsidian, helping y...
·github.com·
vasilecampeanu/obsidian-weaver: Weaver is a useful Obsidian plugin that integrates ChatGPT/GPT-3 into your note-taking workflow. This plugin makes it easy to access AI-generated suggestions and insights within Obsidian, helping you improve your writing and brainstorming process.
News Minimalist — Only significant news
News Minimalist — Only significant news
News Minimalist filters out the noise so you don't have to. We analyze the top 1,000 news daily, bringing you only the essentials in our 2-minute newsletter.
·newsminimalist.com·
News Minimalist — Only significant news
‎Poe – Fast AI Chat
‎Poe – Fast AI Chat
‎Poe lets you ask questions, get instant answers, and have back-and-forth conversations with AI. Gives access to GPT-4, gpt-3.5-turbo, Claude from Anthropic, and a variety of other bots. Poe includes both free and subscription bots. Payments for subscriptions will be charged to your Apple ID at conf…
·apps.apple.com·
‎Poe – Fast AI Chat
LaMini-LM - Mini Models Maxi Data!
LaMini-LM - Mini Models Maxi Data!
Colab LaMini-LM Neo 1.3B: https://colab.research.google.com/drive/1JkbeqGDp_UIi12lv0CltJhFyzIqvY_1N?usp=sharing Colab LaMini-LM GPT1.5B: https://colab.research.google.com/drive/1wAfYXYECNIeub0hS05c7BRTY2a26qd53?usp=sharing Colab LaMini-Flan-T5-783M: https://colab.research.google.com/drive/1fJrwbqYFQa1wJ3xJelZ9gjTxcDnCqumb?usp=sharing Github: https://github.com/mbzuai-nlp/LaMini-LM Dataset: https://huggingface.co/datasets/MBZUAI/LaMini-instruction/ Paper: https://arxiv.org/abs/2304.14402 In this video I go through the paper LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions and examine how they created the dataset and models for this paper and project. 00:00 Intro 00:45 Key Idea 01:23 Diagram 01:45 Dataset 02:10 Hugging Face Dataset 02:27 Trained on a lot of Models 03:05 Paper 04:36 Prompts on ChatGPT 09:37 Code Time
·youtube.com·
LaMini-LM - Mini Models Maxi Data!
Home | Omni
Home | Omni
Omni is a contextual real-time information retrieval system to augment intellectual work with the most relevant information across all websites, all books, all scientific literature, and all personal writing.
·omnilabs.ai·
Home | Omni
Re-implementing LangChain in 100 lines of code
Re-implementing LangChain in 100 lines of code
LangChain has become a tremendously popular toolkit for building a wide range of LLM-powered applications, including chat, Q&A and document search. In this blogpost I re-implement some of the novel LangChain functionality as a learning exercise, looking at the low-level prompts it uses to create these higher level capabilities.
·blog.scottlogic.com·
Re-implementing LangChain in 100 lines of code
Improving Document Retrieval with Contextual Compression
Improving Document Retrieval with Contextual Compression
Note: This post assumes some familiarity with LangChain and is moderately technical. 💡 TL;DR: We’ve introduced a new abstraction and a new document Retriever to facilitate the post-processing of retrieved documents. Specifically, the new abstraction makes it easy to take a set of retrieved documents and extract from them
·blog.langchain.dev·
Improving Document Retrieval with Contextual Compression