record album cover for a band named “Open” –chaos 40 –ar 4:3 –style raw –personalize t1hfffm
DeepSeek
“Deepseek Coder v2 Is The New Open-Source King And Beats The Best Gemini Model. Deepseek-coder has officially put OSS in third position, just behind OAI and Anthropic. It excels at coding and reasoning and scores very high on Livebench AI, the ONLY benchmark you can’t game! –
“DeepSeek-Coder-V2 – competes with closed-sourced models on code and math generation tasks; achieves 90.2% on HumanEval and 75.7% on MATH; these results are higher than GPT-4-Turbo-0409 performance according to their report; includes a 16B and 236B parameter model with 128K”
“Chatbot Arena update! @deepseek_ai DeepSeek-Coder-v2 has climbed to #4 in Coding Arena, nearing GPT-4-Turbo levels! It’s now the top open model for coding. It’s also strong in Hard Prompts, ranking #11, but sits at #20 in Overall generic questions. Meanwhile, @ChatGLM GLM-0520 https://t.co/UAS5tuKHuY”
Gemma
“Google just dropped Gemma 2 27B & 9B Both are showing interesting performances: – 27B beats Llama3 70B, Qwen2 72B and Command R+ in LMSYS Chatbot Arena – 9B beats Mistral 7B and Llama3 8B on various benchmarks Can’t wait to see the evals on the Open LLM Leaderboard with
Google launches Gemma 2, its next generation of open models
“Our benchmarks show: 🔘 9B delivers class-leading performance against other open models in its size category 🔘 27B outperforms some models more than twice its size… … and is optimized to run efficiently on a single TPU host.
“We’re excited to unveil Gemma 2. 🛠️ Available in both 9B and 27B parameters, it delivers the best performance for its size – unlocking more possibilities for developers to build and deploy with AI. →
“When training Gemma 2, we followed robust internal safety processes. 🌐 This included filtering pre-training data and performing rigorous testing and evaluation against a comprehensive set of metrics to identify and mitigate potential biases and risks. →
Meta/Llama
Meta’s LLM Compiler is the latest AI breakthrough to change the way we code | VentureBeat
“Today we’re announcing Meta LLM Compiler, a family of models built on Meta Code Llama with additional code optimization and compiler capabilities. These models can emulate the compiler, predict optimal passes for code size, and disassemble code. They can be fine-tuned for new
Nvidia
“🤖 From this week’s issue: @nvidia announced Nemotron-4 340B, a family of open models that developers can use to generate synthetic data for training large language models.
Other Open Source News
“Introducing Cambrian-1, a fully open project from our group at NYU. The world doesn’t need another MLLM to rival GPT-4V. Cambrian is unique as a vision-centric exploration & here’s why I think it’s time to shift focus from scaling LLMs to enhancing visual representations.🧵[1/n]
Open-LLM performances are plateauing, let’s make the leaderboard steep again – a Hugging Face Space by open-llm-leaderboard
“Look at that 👀 Actual benchmarks have become too easy for recent models, much like grading high school students on middle school problems makes little sense. So the team worked on a new version of the Open LLM Leaderboard with new benchmarks. Stellar work from @clefourrier
Training a 70B model from scratch: open-source tools, evaluation datasets, and learnings – imbue
“It is difficult for open-source software to be truly open when it is used as a strategic vehicle for corporate interests.” / X

Heads up! You’ve scrolled to the end of this category. There may have been just one or two links (above), so go back up and double check to be sure you didn’t quickly scroll down past it.
Be Sure To Read This Week’s Main Post:
This week’s executive overview and top links are here:
AI News #39: Week Ending 06/28/2024 with Executive Summary and Top 67 Links
The post you just read is an deep dive extension of my weekly newsletter, This Week In AI, an executive summary of the top things to know in AI. Each week, I create an accessible overview for laypeople to feel confident they are conversant with the week’s AI developments. I include a curated list of must-click links of the week, to offer everyone a hands-on opportunity to explore the most intriguing updates in artificial intelligence across various categories, including robotics, imagery, video, AR/VR, science, ethics, and more. Beyond the overview, I post these topic-based deeper dives (below). If you haven’t read this week’s overview, I recommend starting there.
- Agents/Copilots
- Amazon
- Apple
- Artificial General Intelligence (AGI)
- Augmented and Virtual Reality (AR/VR)
- Autonomous Vehicles
- AI Audio
- Business and Enterprise AI
- Chips and Hardware
- Consumer Products
- Education
- Ethics/Legal Security
- Images/Photos
- International AI News
- Locally Run AI Models
- Mobile
- Meta
- Microsoft
- OpenAI
- Open Source
- Podcasts/YouTube
- Publishing and News
- Retrieval-Augmented Generation (RAG) News
- Robots and Embodiment
- Safe Intelligence, Inc.
- Science and Medicine
- Video
- Vision/Multimodality
- X/Twitter/Grok
- Tech and Development
Credits/Sources

Most of these weekly links come from just a few prolific oversharing sources. Please follow them, as they work hard to find the news each week and they make it a lot easier for me to compile.
- Robert Scoble: https://x.com/Scobleizer
- Ethan Mollick: https://www.linkedin.com/in/emollick/
- Alan Thompson: https://lifearchitect.ai/
- Theoretically Media: https://www.youtube.com/@TheoreticallyMedia
- The Rundown: https://www.therundown.ai/
- Bilawal Sidhu: https://twitter.com/bilawalsidhu/
- TLDR: https://tldr.tech/ai
- Jeremiah Owyang: https://twitter.com/jowyang
- Nick St. Pierre: https://twitter.com/nickfloats
- Dr. Jim Fan: https://twitter.com/DrJimFan
- All About AI: https://www.youtube.com/@AllAboutAI
- Marshall Kirkpatrick: https://aitimetoimpact.com/
- AI News (Smol Talk): https://buttondown.email/ainews/archive/
- Andrej Karpathy: https://x.com/karpathy
- Brett Adcock: https://x.com/adcock_brett
- Florent Daudens: https://x.com/fdaudens
- Ate-a-Pi: https://x.com/8teAPi
- Francesco Marconi: https://x.com/fpmarconi
- Charlie Beckett: https://x.com/CharlieBeckett
For previous issues, please visit the archives!

Thanks for reading!





Leave a Reply