Mu Li

Cofounder of BosonAI

[BosonAI @boson_ai]

Human communication rely on expression, timing, attention, and presence to build trust and understanding. A real-time human avatar add a critical visual layer to voice agents, making interactions more natural, more engaging: https://t.co/2968vfzpnO

[Mu Li @mli65]

Big congrats to our customer on their trailer announcement! 🎉

[Whispers from the Star @WFTS_Game]

Whispers from the Star⭐️ Announce Trailer

Your words seal her fate.

When a girl named Stella crash-lands on an alien planet called Gaia, you are the only person she can contact through her communicator. Through texts, voice messages, and video calls that unfold throughout your day, guide her through a gripping story where every response could mean life or death.

As you stay connected in real time, your open-ended conversations with Stella become her compass through danger. In this innovative story of hope, resilience, and wonder, you are Stella's sole chance at survival. Will your voice guide her home?

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➤ Register now for the Closed Beta:
https://t.co/mt8Pf99Gco
➤ Join the Discord: https://t.co/gqsd7983Mg

#WhispersfromtheStar #WFTS #Anuttacon

[BosonAI @boson_ai]

Excited to share Higgs-V2, improved both general and roleplaying abilities. The performance boost comes from the in-house built reward model. More at https://t.co/mgtQe7heOK

[BosonAI @boson_ai]

Congrats to the Qwen2 release👏 We tuned Qwen1 models for our customers last year, they were very happy!😄
Higgs-Llama-3-70B and Qwen2-70B-Instruct reported very comparable results😆😆😆
Results by joining benchmark tables with Llama-3-70B-Instruct as the key

[BosonAI @boson_ai]

Excited to release Higgs-Llama-3-70B, the first model in our Higgs family of LLM for role playing
- Post-trained from Llama-3-base
- Excluded benchmark data (including training examples) from our fine-tuning data
- Blog: https://t.co/JIS7n6r36r
- 🤗: https://t.co/9WH9yig6Yz

[Aston Zhang @astonzhangAZ]

Cheer AI up with "let's think step by step"? More plz

Let’s think not just step by step, but also one by one

We can use more cheers & diversity to SAVE huge manual efforts in chain of thought prompt design, matching or even exceeding performance of manual design on GPT-3
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[Alex Smola @smolix]

Learn Math for Deep Learning in @D2L_ai. Now in @PyTorch and @ApacheMXNet. Linear Algebra, Information Theory, Calculus, Statistics, Probability, Naive Bayes. Thanks to @gollum_here for the port. https://t.co/Qf8Wk0VZn5. @mli65 @zacharylipton @astonzhang @brentwernes
Rachel Hu.

[Alex Smola @smolix]

Dive into Deep Learning with @PyTorch. Just the right thing to relax with after #NeurIPS2020 tomorrow. Many thanks to @mli65 and @gollum_here for their work to make this happen. Check it out at https://t.co/i9qUn1kZhJ.

[Mu Li @mli65]

We are working on a pytorch version of https://t.co/RU1FT89xY8. Will be online soon:)

[Soumith Chintala @soumithchintala]

D2LBook from @mli65: nice toolkit to write interactive books with a lot of Python. The great "Dive into Deep Learning" book seems to have been authored using this.
Similar to Jupyter Book but focusing on markdown / sphinx.

https://t.co/d0VLES1Ja1

[Soumith Chintala @soumithchintala]

D2LBook from @mli65: nice toolkit to write interactive books with a lot of Python. The great "Dive into Deep Learning" book seems to have been authored using this.
Similar to Jupyter Book but focusing on markdown / sphinx.

https://t.co/d0VLES1Ja1