The state of open source vision-language-models has also been steadily increasing. Exciting!
OPEN SOURCE
-
Llama 3.1 Uses Synthetic Data Not Distillation Says Expert
By
–
Many people say that Llama 3.1 is distilled, but this is incorrect: it's just synthetic data. Here's a plot from kindacognizant (
https://
reddit.com/r/LocalLLaMA/c
omments/1ed58iu/llama31_models_are_fake_distillations_this_should/
…) showing the difference in probability distributions. Yeah, it's NOT EVEN distilled. Still more performance to tap into. -
1T AI Model Upscaled: Technical Report Released
By
–
Yes, I'm planning to play with it a little 🙂 I've shared the 1T model that was upscaled yesterday, the technical report is an interesting read, I recommend it
-
Tenstorrent Brings Llama-3.1-70B Inference Support to 8-Chip Systems
By
–
We are happy to announce that we have brought up support for Llama-3.1-70B inference on Tenstorrent’s 8-chip systems, the TT-QuietBox and the TT-LoudBox. The source code for Llama-3.1-70B and other models that are supported is on our GitHub —>
-
Open Source AI Party at ICML 2024 Vienna
By
–
🎉Prost! Open Source AI Party, ICML 2024 Vienna🎉
— Cerebras (@cerebras) 26 juillet 2024
Cerebras Systems, CERC-AAI, and Together AI hosted an unforgettable night filled with great discussions on ML and loads of fun.
Hundreds of attendees packed Das Campus under a beautiful Viennese sky. The energy was electric as… pic.twitter.com/1x5ATT8417Prost! Open Source AI Party, ICML 2024 Vienna Cerebras Systems, CERC-AAI, and Together AI hosted an unforgettable night filled with great discussions on ML and loads of fun. Hundreds of attendees packed Das Campus under a beautiful Viennese sky. The energy was electric as
-
China’s Rise in AI and Open-Source Model Dilemma
By
–
China rising in AI — and the open-source dilemma. @megatobin1 + @CadeMetz nytimes.com/2024/07/25/techn…
-
Fine-tune Datasets: Practical Guide with Code Examples
By
–
This blog covers in-depth guide with practical code examples which you can use to fine-tune your datasets or any OS datasets from HF hubs. Read the blog now using the link below:
-
Fine-tuning Open Source LLMs with MonsterAPI Evaluation
By
–
Evaluation of fine-tuning LLMs using MonsterAPI Find out a new blog on how you can use @monsterapis for fine-tuning state-of-the-art open source LLMs and evaluate on benchmarks evaluation metrics such as MMLU, gsm8k, etc. Learn more below:
-
Llama 3.1 Becomes Number One Trending Model on Hugging Face
By
–
llama 3.1 by @AIatMeta is now #1 trending model on Hugging Face! https://
huggingface.co/models