8/ Dialog-Enabled Resolving Agents (DERA) – a paradigm to enhance large language model completions by allowing models to communicate feedback and iteratively improve output; DERA outperforms base GPT-4 on clinically-focused tasks.
AI
-

Natural Selection Favors AI Systems Over Humans: Risks and Mitigation
By
–
9/ Natural Selection Favors AIs over Humans – discusses why AI systems will be more fit than humans and the potential dangers and risks involved, including ways to mitigate them.
-

ChatGPT Outperforms Crowd Workers on Text Annotation Tasks
By
–
6/ ChatGPT for Text-Annotation – shows that ChatGPT outperforms crowd-workers on several annotation tasks such as relevance, topics, and frames detection; besides better 0-shot accuracy, the per-annotation cost of ChatGPT is ~20 times cheaper than MTurk.
-

LLM Agents Execute Computer Tasks Through Recursive Self-Improvement
By
–
7/ LLMs for Computer Tasks – shows that a pre-trained LLM agent can execute computer tasks using a simple prompting scheme where the agent recursively criticizes and improves its outputs.
-

ChatDoctor: Medical LLM Fine-tuned on LLaMA for Healthcare
By
–
4/ ChatDoctor – a medical chat model fine-tuned on LLaMA using medical domain knowledge. Collects data on around 700 diseases and generated 5K doctor-patient conversations to finetune the LLM.
-

LLaMA-Adapter: Lightweight Method Fine-Tune Instruction-Following Models
By
–
5/ LLaMA-Adapter – a lightweight adaption method to efficiently fine-tune LLaMA into an instruction-following model; generates responses comparable to Alpaca with fully fine-tuned 7B parameter; it’s also extended for multi-modal input support.
-
Powerful AI Tools in Wrong Hands: A Security Concern
By
–
My worry is certainly with the latter and less with the former. New powerful tools are always dangerous in the hands of bad actors. But we (humans) or the bad actors.
-
Influence Beyond Followers: Redefining Reach and Impact Metrics
By
–
Donc si on en revient au début de mon thread, l'important ce n'est pas qu'il n'ait que 100 followers, c'est qu'il ait pu toucher 167k personnes. Ce qui remet en cause ce que l'on pense de "l'influence". D'ailleurs @elonmusk a bien remarlqué qu'il n'avait pas assez de reach
-

AI21 Labs Co-CEO Discusses Generative AI Future at START Summit
By
–
It was an incredible experience to be a part of the START Global Summit in St. Gallen! Our Co-CEO, @origoshen
, had the opportunity to discuss the future of #GenerativeAI and the AI21 labs journey with the brightest minds and leaders in the industry. #START23 #ai #innovation -
Europe’s AI Strategy Crisis: Professor Catherine’s Assessment
By
–
Le professeur Sylvain Catherine de @Wharton vient de résumer le suicide européen en matière d’intelligence artificielle Bravo @sc_cath
