A technical deep-dive into reasoning models and where things are headed. It's a must-read. https://lnkd.in/eABtmNQ9
Synthesis AI
软件开发
San Francisco,California 5,855 位关注者
Pioneering synthetic data to build more capable and ethical AI.
关于我们
Pioneering synthetic data and generative AI technology to build more capable and ethical AI.
- 网站
-
https://synthesis.ai
Synthesis AI的外部链接
- 所属行业
- 软件开发
- 规模
- 11-50 人
- 总部
- San Francisco,California
- 类型
- 私人持股
- 创立
- 2019
- 领域
- AI、Machine Learning、Computer Vision和GANs
地点
-
主要
77 Geary St
US,California,San Francisco,94108
Synthesis AI员工
-
Balaji Gopinath
Builder : Investor : Executive : Board Member : Entrepreneur
-
Yashar Behzadi
CEO & Founder at Synthesis AI
-
Ben Guastella
Head of CG at Synthesis AI
-
George Bandarian
Driving AI Innovation as General Partner, Untapped Ventures | AI Keynote Speaker | Agentic Podcast Host | Proud Husband & Father of 3 Boys
动态
-
In this blog post, we look at what is next after Transformers. Check it out. https://lnkd.in/gMsZqQzp
-
This blog post explores "LLMs for Programming: Is Coding Dying?" What do you think? https://lnkd.in/gpZ-jR9X
-
The technical folks will love our new blog post. In it, we examine linear attention and Mamba in depth. Enjoy! https://lnkd.in/gCCW4xRx
-
A nice technical post today about Kolmogorov-Arnold Networks. 'KAN' You Make It Work? :) https://lnkd.in/gGFKAqYZ
-
Our very own Head of AI Research, Sergey Nikolenko, puts OpenAI's O1 model through a real intelligence test. To pass, the model needs to be exceptionally clever. The results are impressive! https://lnkd.in/gRqBDHh3
-
Our latest blog post dives deep into "Using RAG to Enrich LLMs." A must-read to understand the current and future role of RAG https://lnkd.in/gUz-YfpD
-
Great new blog post on fine-tuning LLMs: RLHF, LoRA, and instruction tuning. #generativeAI #LLM #computervision https://lnkd.in/gkiwVkWQ
-
Great new technical blog post on the fundamentals of context windows and Transformers. Enjoy! https://lnkd.in/gNcHsK6x
-
Excited to release our book on Generative AI. Our previous book on Synthetic Data has been accessed 70K times and I think this will be bigger. Check out the book here and get your free copy. https://lnkd.in/gV2Kp6U7