Global AI Weekly
Issue number: 77 | Tuesday, November 12, 2024
Highlights
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GitHub Copilot for Azure: 6 Must-Try Features
Ready to supercharge your Azure game right within GitHub Copilot? Dive into our latest blog where we break down six must-try features of GitHub Copilot for...
techcommunity.microsoft.com
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‘It gets more and more confused’: can AI replace translators?
As anyone who has tried pointing their phone’s camera at a menu in a foreign country lately will know, machine translation has improved rapidly since the first days of Google Translate. The utility of AI-powered translation in situations like this is unquestionable – but the proposed use of AI in literary translation has been significantly more controversial.
theguardian.com
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OpenAI acquired Chat.com
OpenAI bought Chat.com, adding to its collection of high-profile domain names. As of this morning, Chat.com now redirects to OpenAI’s AI-powered chatbot, ChatGPT. An OpenAI spokesperson confirmed the acquisition via email. Chat.com is one of the older domains on the web, having been registered in September 1996.
techcrunch.comIntroducing SimpleQA
A factuality benchmark called SimpleQA that measures the ability for language models to answer short, fact-seeking questions.
openai.comResearch
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From static prediction to dynamic characterization: AI2BMD advances protein dynamics with ab initio accuracy
Microsoft Research’s AI2BMD, an AI-based system that efficiently simulates a wide range of proteins in all-atom resolution, can advance drug discovery and biomolecular research. The post From static prediction to dynamic characterization: AI2BMD advances protein dynamics with ab initio accuracy appeared first on Microsoft Research.
microsoft.comArticles
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A portable light system that can digitize everyday objects
A new design tool uses UV and RGB lights to change the color and textures of everyday objects. The system could enable surfaces to display dynamic patterns, such as health data and fashion designs.
news.mit.edu
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What Did I Learn from Building LLM Applications in 2024? — Part 1
In order to help you navigate the challenges of LLM applications development, I will talk about best practices in the following key focus areas — use case selection, team mindset, development approach, responsible AI and cost management . With significant investments flowing into creating Generative AI-based applications and tools for business use, it is becoming essential to bring these prototypes to production stage and derive business value.
towardsdatascience.comThe images of Spain’s floods weren’t created by AI. The trouble is, people think they were
The rapid growth of ‘AI slop’ – content created by artificial tools – is starting to warp our perception of what is, or could be, real My eye was caught by a striking photograph in the most recent edition of Charles Arthur’s Substack newsletter Social Warming.
theguardian.com
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Responsible AI Mitigation Layers
Build more robust system using Mitigation Layers in responsible AI
techcommunity.microsoft.com
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Decoding One-Hot Encoding: A Beginner’s Guide to Categorical Data
Learning to transform categorical data into a format that a machine learning model can understand.
towardsdatascience.comHow I ship projects at big tech companies
Why do so many engineers think shipping is easy? I know it sounds extreme, but I think many engineers do not understand what shipping even is inside a large tech company. What does it mean to ship? It does not mean deploying code or even making a feature available to users. Shipping is a social construct within a company.
simonwillison.net
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Deep Dive on Cutlass Ping-Pong GEMM Kernel
The Ping-Pong and Cooperative kernels exemplify this paradigm, as the key design patterns are persistent kernels to amortize launch and prologue overhead, and ‘async everything’ with specialized warp groups with two consumers and one producer, to create a highly overlapped processing pipeline that is able to continuously supply data to the tensor cores. Two other warp groups are dedicated consumers that process the math (MMA) portion with tensor cores, and then do any follow up work and write their results back to global memory (epilogue).
pytorch.orgUpcoming Events
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Getting Started with Reinforcement Learning in Python
Reinforcement Learning (RL) is a fascinating branch of machine learning that allows agents to make decisions based on rewards and…
wrench1337.medium.com
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Join us at Microsoft Ignite on November 18-22, 2024 in Chicago
Join us at Microsoft Ignite on November 18-22, 2024 in Chicago, IL and online to achieve more with the power of the Microsoft Cloud, Microsoft Copilot, and AI.
ignite.microsoft.comCode
Binary vector embeddings are so cool
Vector embeddings by themselves are pretty neat. Binary quantized vector embeddings are extra impressive. In short, they can retain 95+% retrieval accuracy with 32x compression and ~25x retrieval speedup.
simonwillison.net
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Best Programming language for Artificial Intelligence projects
The best programming language for Artificial Intelligence (AI) projects depends on the specific needs of the project, the types of AI…
medium.com