LLMs
sari and
LLMs
Embeddings: What they are and why they matter
simonwillison.net
1/ AI exploded on the scene at the end of 2022, with applications like @OpenAI's ChatGPT taking the world by storm.
2023 is poised to be the most exciting year of AI yet! 🎉
Here's mine and @vivek7ue's look at the lay of the land + what might happen next...
👀🧵... See more
Large Language Models Understand and Can be Enhanced by Emotional Stimuli
Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xiereadwise-assets.s3.amazonaws.comQwen-VL-Max - a Hugging Face Space by Qwen
huggingface.co
NFX’s Generative Tech Open Source Market Map
docs.google.comI've learned so much from @hubermanlab, but podcasts make recall and discovery challenging.
Huberman AI uses the latest models from @openai to search every episode with Google-level accuracy and summarize the results.
https://t.co/1nctiAIuGO https://t.co/VpjnY2NcpM
riley tomasektwitter.comThere’s a lot of hype around AI, and in particular, Large Language Models (LLMs). To be blunt, a lot of that hype is just some demo bullshit that would fall over the instant anyone tried to use it for a real task that their job depends on. The reality is far less glamorous: it’s hard to build a real product backed by an LLM .