Elon has apparently one genuine technical paper indexed by Google Scholar:
"An Integrated Brain-Machine Interface Platform With Thousands of Channels"
Published in the Journal of Medical Internet Research in 2019.
The authors?
"Elon Musk and Neuralink"
I'm sure the scientists who hide behind this collective name are super happy about that.
I just hope they won't die bitter and forgotten.
https://t.co/Tcba5XBtP3
Karpathy announced he was leaving OpenAI 4 days ago.
Today, he released an implementation of the Byte Pair Encoding algorithm behind GPT and most LLMs.
Byte Pair Encoding: "Minimal, clean, educational code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization."
The best part? It's written in 70 lines of pure python.
We’re excited to announce 𝗚𝗲𝗺𝗶𝗻𝗶: @Google’s largest and most capable AI model.
Built to be natively multimodal, it can understand and operate across text, code, audio, image and video - and achieves state-of-the-art performance across many tasks. 🧵 https://t.co/mwHZTDTBuG
Let's go hands-on with #GeminiAI.
Our newest AI model can reason across different types of inputs and outputs — like images and text. See Gemini's multimodal reasoning capabilities in action ↓
Satya Nadella has the right framework for AI. “Copilot”. Not “Autopilot”. Human agency is still at the premium. You get to decide what you want to do still. You’re just a lot more well informed and have access to the best expert on the topic at the cheapest cost possible.
Beyond excited to share the biggest update yet to @MadeWithML -- based on 8+ years of helping machine learning teams get to production:
- 📈 Scaling ML (+ LLMs)
- 🔗 MLOps integrations
- 🚀 Dev → Prod (fast)
- ✅ open-source
https://t.co/XIhD3w3YBA
🧵 Detailed thread below 👇
Curious to know how Llama-2 models compare to other LLMs? 🦙
👀⚖️ Check it out on the Open LLM Leaderboard! https://t.co/phlmpbjGJ9
We re-ran the 7B, 7B-chat, 13B, 13B-chat, 70B-chat, and the 70B will be there soon ✨
(I can already spy with my little eye a new top model 🚀)