The more useful the tech turns out to be the more it will get commoditized and the harder it will be to monetize (paradoxically). The only clear winners are individual engineers with great deep learning NLP skills.
MACHINE LEARNING
-
Integrating LLMs with Symbolic Tools to Address Limitations
By
–
Likewise we can interface LLMs with an array of symbolic tools that can shore up their weaknesses — calculators, interpreters, discrete search programs, SAT solvers, etc.
-
LLM Performance Evolution: Beyond Generation to Knowledge Retrieval
By
–
It's clear that we're far from peak LLM performance — these models will keep getting better. It's also clear that pure generation is just the first step — we can largely alleviate the LLM reliability issue by using them as information retrieval devices over a knowledge corpus.
-
No explicit human ranking, model uses constitution for compliance
By
–
From what I understand there actually isn't any explicit human ranking of its generations, but analogous work is done by another model that determines how well its generations comply with a human-written "constitution".
-

Claude discusses its own lack of self-awareness
By
–
Claude (a ChatGPT-like model from @AnthropicAI
) on the subject of its own lack of self-awareness: -

Generative AI: Game-Changer for Society and Industry
By
–
Generative #AI: a game-changer that society and industry need to be ready for https://
weforum.org/agenda/2023/01
/davos23-generative-ai-a-game-changer-industries-and-society-code-developers/
… #MachineLearning #BigData #Analytics @Shi4Tech @CatherineAdenle #100DaysofCode #womenwhocode #serverless #NLP @anijov #IoT @FmFrancoise @BIScorecard #DataScience #DeepLearning -
Abacus AI Recognized as Top AI and ML Startup 2022
By
–
We were listed as a top AI and ML startup in 2022! Took a lot of work, but thanks to everyone that made it possible!
-
Energy-Centric AI: Efficient ML Models Without Precision Loss
By
–
How can #ML/#DL models run efficiently without precision? In the latest @SemiEngineering article, @UntetherAI
's @beach66 & Martin Snelgrove introduce the Energy-Centric AI computing architecture: a solution built for energy-efficient #AI inference. -
DeepMind AlphaZero defeats Lex Fridman in chess match
By
–
Fun to watch this chess match between @deepmind's @demishassabis and @lexfridman (who did not embarrass himself, but was slowly destroyed in a style that one might compare to AlphaZero). https://
youtube.com/watch?v=UbkB-v
hjhHA
…