“This new milestone puts the aarch64-apple-darwin target on par with the 64-bit ARM Linux and the X86 macOS, Linux, and Windows targets.” https://
blog.rust-lang.org/2024/10/17/Rus
t-1.82.0.html
…
OPEN SOURCE
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Rust 1.82 Achieves Parity for aarch64-apple-darwin Target
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Chat LangChain Improved with New Cognitive Architecture
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Improved Chat LangChain We have a new and improved Chat LangChain experience! The new version has a new cognitive architecture (uses a research subagent) and slicker UI Open source as always Check it out https://
chat.langchain.com -
Open-PerfectBlend: 1.42M Sample SFT Dataset Released
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Open-PerfectBlend I reproduced the SFT dataset described in Meta's PerfectBlend paper: 1.42M samples with chat, math, code, and instruction-following samples. Give it a try for your next fine-tune! Dataset: https://
huggingface.co/datasets/mlabo
nne/open-perfectblend
… Paper: https://
arxiv.org/abs/2409.20370 -
Meta FAIR Releases Eight New AI Research Artifacts for Open Science
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Open science is how we continue to push technology forward and today at Meta FAIR we’re sharing eight new AI research artifacts including new models, datasets and code to inspire innovation in the community. More in the video from @jpineau1.
— AI at Meta (@AIatMeta) 18 octobre 2024
This work is another important step… pic.twitter.com/o43wgMZmzKOpen science is how we continue to push technology forward and today at Meta FAIR we’re sharing eight new AI research artifacts including new models, datasets and code to inspire innovation in the community. More in the video from @jpineau1
. This work is another important step -
PKU releases Align Anything framework for AI alignment
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PKU opensourced 「Align Anything」framework https://
github.com/PKU-Alignment/
align-anything
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Fine-tuning Leaderboard: Which SLM to choose for your use case?
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Which #slm should I fine-tune?
— Predibase by Rubrik (@predibase) 18 octobre 2024
How does it perform for my use case?
How much improvement can I get over hashtag #GPT4?
We get lot of questions like these and to help you answer them, we've created the Fine-tuning Leaderboard: https://t.co/fqCTI4thOY
We #finetuned 20+ models… pic.twitter.com/AQ2sLHWV5fWhich #slm should I fine-tune? How does it perform for my use case? How much improvement can I get over hashtag #GPT4? We get lot of questions like these and to help you answer them, we've created the Fine-tuning Leaderboard: https://
predibase.com/fine-tuning-le
aderboard
… We #finetuned 20+ models -
SwiftData Deterioration: Apple’s Framework Criticized After One Year
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So a year in, SwiftData is now *worse* than it was in the initial release? Honestly, don’t trust Apple there, use something open source that is properly maintained and has tests, like GRDB.
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Meta Open Sources Movie Gen Bench for Audio Video Generation
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As detailed in the Meta Movie Gen technical report, today we’re open sourcing Movie Gen Bench: two new media generation benchmarks that we hope will help to enable the AI research community to progress work on more capable audio and video generation models.
— AI at Meta (@AIatMeta) 17 octobre 2024
Movie Gen Video Bench… pic.twitter.com/66aOaIGwwRAs detailed in the Meta Movie Gen technical report, today we’re open sourcing Movie Gen Bench: two new media generation benchmarks that we hope will help to enable the AI research community to progress work on more capable audio and video generation models. Movie Gen Bench
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Databricks Partners with Meta to Launch Llama 3.2 Models
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We recently partnered with Meta to launch Llama 3.2 models on Databricks!
— Databricks (@databricks) 17 octobre 2024
You can now tune them securely on your data, and easily integrate them into your GenAI applications with Mosaic AI Gateway and Agent Framework:https://t.co/tW0YmCotRy pic.twitter.com/mmMiQVnsJAWe recently partnered with Meta to launch Llama 3.2 models on Databricks! You can now tune them securely on your data, and easily integrate them into your GenAI applications with Mosaic AI Gateway and Agent Framework: https://
dbricks.co/48gmche -
Meta Llama 3.2: Fast Inference AI Development Now Free
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The possibilities are endless with @AIatMeta
's Llama 3.2! With so many potential use cases out there, this is the perfect time to get creative and build a valuable #AI with hyper-fast #inference. Start developing for free