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Magentic makes it easy to integrate Large Language Models (LLMs) into your Python code. Treat prompt templates as functions, using type annotations to specify structured output. Then, seamlessly mix LLM queries and function calling with regular Python code to create complex LLM-powered functionality.
A step-by-step guide for using the Llama paper to train TinyShakespeare.
Create an API assistant from any OpenAPI spec.
Meta and Microsoft have announced the support for Llama 2, a family of large language models, on Azure and Windows, marking its first commercial release. The partnership enables developers to build, fine-tune, and deploy Llama 2-powered models on Azure while also optimizing for local use on Windows. It aims to bolster Azure’s model catalog, democratize AI, and reinforce Microsoft’s position as a global supercomputing platform for AI, while also upholding responsible AI practices through safety measures and risk mitigation.
Google is testing Genesis, an AI tool designed to help journalists by generating news articles. Despite these innovations, concerns remain over misinformation and bias if such tools are not accurately supervised.
Tech giants including Microsoft, Google, and OpenAI are voluntarily committing to White House-prompted safeguards for their AI technology, including independent testing and addressing societal risks. This pledge will be in effect until Congress enacts official AI regulations.
Google DeepMind researchers are presenting more than 80 new papers at ICML this year, including demos on AlphaFold, advances in fusion science, and new models, like PaLM-E for robotics and Phenaki for generating video from text.
Much of modern AI relies on large matrix multiplications. When implemented in hardware, this means there are expensive multiply components on the chips. If we could use cheap additions instead, we could fit more transistors on the chip and potentially run with much less power. This is very early research, but the algorithm presented suggests we can use just additions for large matrix multiplications.
Another deep learning library, this time by Apple and it is built on top of Jax. Notably, it supports compiler-based parallelism for large-scale training, which is a feature not present in several other popular frameworks.
Run and package large language models on macOS.
Deploy a private ChatGPT alternative hosted within your VPC. Connect it to your organization's knowledge base and use it as a corporate oracle. Supports open-source LLMs like Llama 2, Falcon, and GPT4All.
Instead of using a vector store to index directly over the data, you can use metadata and an existing query language to dramatically improve the quality of retrieved data.
This blog walks through the reimplementation of a thousand lines of C++ in an opencv function to a few lines of Mojo. They discuss the trade offs and speed ups. Mojo still doesn't have a local release, but it is expected to come soon.
A nice, high-level discussion around the key components, emerging trends, and industry players working in generative AI. There’s lots of information here around foundation models, compute, frameworks, orchestration, fine-tuning, synthetic data, and more!
OpenAI just launched custom instructions for ChatGPT users, so they don’t have to write the same instruction prompts to the chatbot every time they interact with it.
GitHub has announced that its new Copilot Chat feature — a ChatGPT-like experience designed to help developers with coding — is now available as a limited public beta for enterprise companies and organizations.
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Will AI replace tech jobs or will your job evolve? Is it too late to switch to a career in AI/ML? If not, where do you start? What AI skills should you build?
More details included about the secretive safety start up. Mostly we get to see who is on the team and working to help this venture. The stated goal is to “understand the universe”. We are interested to see how this plays out.
Clibrain, a Spanish AI startup, has launched Lince Zero, a large language model optimized for Spanish. The model, available under open-source license, is aimed at delivering enhanced performance for Spanish language queries.
Shutterstock is expanding its partnership with OpenAI, providing data to train AI models in return for advanced tech access. The move comes despite industry debates over generative AI and copyright issues.
This study proposes a method to improve the functionality of chatbot systems like ChatGPT by using ontology-driven structured prompts that allow for more effective information retrieval and response generation. By showcasing its effectiveness in the Ukrainian language within rehabilitation, the study illustrates that this approach is adaptable and can be applied to a variety of other large language models.
This paper presents CAT-ViL, a deep learning tool that can provide detailed answers and visualize them on surgical videos, serving as a valuable resource for medical students and junior surgeons.
A new automated system, Text2Cinemagraph, can transform text descriptions into moving artistic images called cinemagraphs, even when the text includes imaginary elements and stylistic details.
a16z released an AI companion app starter kit.
GPT Researcher is an autonomous agent designed for comprehensive online research on a variety of tasks.
This repo holds the code, demos, and logs for Reflexion: Language Agents with Verbal Reinforcement Learning.
This blog post discusses the "Picks & Shovels" behind Generative AI leaders like OpenAI. The post covers topics like foundational models, compute, frameworks, orchestration & vector databases, fine-tuning, labeling, synthetic data, AI observability, and model safety.
Bill Gates discusses the real but manageable risks of AI, making the case that we’ve successfully mitigated the risks from past innovations.
A profile into Anthropic’s efforts to simultaneously balance competition with a desire to build safe AI models.
Mike Loukides argues that the only thing to fear is failing to make the transition to AI-assisted programming.
This article discusses the commercial ecosystem that is emerging around data in the age of AI. It argues that new pricing and usage models, compliance and data rights, and data marketplaces are needed to update the current system.
Salesforce was one of the first groups to release open source code models. Since then, they have kept pace with the state of the art, surpassing all equivalently sized models (7B params) and even beating out models 2x as large.
This paper introduces INT-FP-QSim, an open-source simulator that tests how well large language models and vision transformers can work at different levels of numerical precision.
This research introduces the Dynamic Path-Controllable Deep Unfolding Network (DPC-DUN), an innovative model that optimizes image reconstruction in Compressive Sensing (CS), balancing performance and complexity for enhanced efficiency and results.
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This project proposes an algorithm to filter web datasets used for training CLIP in order to learn better visual representations and achieve state-of-art zero-shot accuracy on vision tasks.
Danswer allows you to ask natural language questions against internal documents and get back reliable answers backed by quotes and references from the source material.
Alibaba has launched Chat2DB, a versatile general-purpose SQL client and reporting tool for databases that integrates OpenAI's ChatGPT capabilities. This tool aims to revolutionize the way databases are interacted with, making it more accessible and user-friendly.
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