Here's my quick 3 minute breakdown:
Adaptive compute is very interesting to me imo. I wonder how they are using variable compute for each task and basis what meta heuristic
Adaptive compute is what will help optimise cost for high complexity tasks, right?
Probably different "cores" for different types of tasks
Thanks for the paper! It's really interesting. I've been sounding like a madman explaining to people irl that Generative AI is not the end goal or even the natural next step of AI.
What is the next step?
Thanks for such a great post!!!! That's what I want more from this community.
Yeah, you heard it right. Whatever these “gurus” and course scammers are shilling in the name of prompt engineering and crores of salary is 💩.
Heads up, companies are already working on augmenting prompts using Natural Language Generat...
I am a fresher working as a Data analyst in a growing startup. My current role doesn't include much of coding just python and SQL and sometimes little bit ML work. Currently handling 2 projects, and some of PM work to define some roadmap...
I know since the evolution of LLM tools like chat GPT ,sourcegraph. Many candidates are misusing them for coding interviews. There can be many hacks even in virtual interviews. Wouldn’t it results in shifting interview process to onsite ...
xAI rival of open ai chatgpt and Google bard...Have hired ex-engineers of Google deepmind, open ai, Microsoft..What's your views?
Liquid AI has launched a new type of AI model called Liquid Foundation Models (LFMs). These models are designed to be more efficient than traditional transformer-based models, with smaller memory needs and better performance. LFMs come i...
