A new open-source language model named Lemur, introduced in a paper from researchers at the University…
Category: AI / ML
The AI / ML category highlights the latest in artificial intelligence and machine learning. It covers advancements, challenges, and practical uses. Articles explore leading tech companies’ innovations. They discuss models that redefine performance, accuracy, and efficiency. A focus lies on the ethics and safety of large language models. It underscores the need for safe testing and deployment. Practical AI applications range from data preprocessing to code generation. They also cover uses in digital personal assistants. The category sheds light on AI’s enhanced reasoning and its limitations. There’s an emphasis on methods to improve AI training. The broader societal impacts of AI are also discussed. This includes decision-making, vulnerabilities, and shifts in traditional workflows.
Assistant with Bard is the AI integration we’ve been waiting for
Google’s new Assistant with Bard, unveiled at the Made by Google event, combines the robustness of…
Rethinking Calibration for More Robust Large Language Models
Large language models (LLMs) like GPT-3 have shown impressive capabilities when prompted with instructions or given…
Automated Program Repair Deployed at Facebook
Facebook researchers have achieved a major milestone in automated program repair with the deployment of SapFix,…
What can you do with Copilot in OneNote?
Microsoft is adding its AI assistant tool, Copilot, to OneNote and other productivity apps. The feature,…
Anysphere raises $8M from OpenAI to build an AI-powered IDE
AI-native software development startup, Anysphere, has raised $8 million in seed funding for its platform, Cursor.…
Microsoft Lobotomizes Bing’s Image Generating AI
Microsoft has tightened the guardrails on its Bing Image Creator, a DALL-E 3-powered AI, after users…
Enhancing Language Models with Analogical Prompting for Improved Reasoning
Researchers from Google Deepmind and Stanford University have developed a technique called “Analogical Prompting” to improve…
New Tool-Integrated Reasoning Agents Achieve Major Gains in Mathematical Problem Solving
A new study from researchers at Tsinghua University and Microsoft presents ToRA, a series of novel…
ollama: Get up and running with Llama 2 and other large language models locally
Ollama is a lightweight, extensible framework for running large language models locally. It offers a simple…
Improved Baselines for Visual Instruction Tuning Models
Researchers from the University of Wisconsin-Madison and Microsoft Research have developed improved baselines for visual instruction…
AI is already helping astronomers make incredible discoveries. Here’s how
Artificial Intelligence (AI) is revolutionizing astronomy by processing vast amounts of data, enhancing image clarity, and…
StreamingLLM shows how one token can keep AI models running smoothly indefinitely
Researchers from Meta, MIT, and CMU have developed a new framework, “StreamingLLM”, to improve the performance…
Even the Worst Version of Claude AI Is Better Than GPT 3.5, Researchers Say
The Large Model Systems Organization’s leaderboard reveals that Anthropic’s Claude AI models outperform OpenAI’s GPT-3.5, the…
GitHub’s Learnings from Building Copilot – An Enterprise LLM Application
GitHub shares insights from the three-year development journey of GitHub Copilot, an AI tool that aids…
Researchers show how easy it is to defeat AI watermarks
Watermarking, a strategy to identify AI-generated images and text, is proving to be unreliable, according to…
Borges and AI: A New Perspective on Language Models
A new paper by researchers Léon Bottou and Bernhard Schölkopf offers a novel perspective on large…