IMBUE: Improving Interpersonal Effectiveness through Simulation and Just-in-time Feedback with Human-Language Model Interaction Lin et al.: https://
arxiv.org/abs/2402.12556 #ArtificialIntelligence #DeepLearning #MachineLearning
RESEARCH
-
IMBUE: Improving Interpersonal Skills Through Language Model Simulation
By
–
-
AI Training Makes Systems Sound More Human, Not Actually Human
By
–
In short, AI doesn’t « get more human », the developers of AI make it sound more human thanks to its training (this is a technology system). https://t.co/NwnX6aaNZH
— clem 🤗 (@ClementDelangue) 5 mars 2024In short, AI doesn’t « get more human », the developers of AI make it sound more human thanks to its training (this is a technology system).
-
Claude GPT-4 Gemini poetry generation Lem test comparison
By
–
Claude 3 vs. GPT-4 vs. Gemini in the Lem test. Claude is good at word games SciFi author Stanislaw Lem wrote of rival constructors of robots. One creates a robotic poet & the other challenges it to write an impossible poem, which it does (the English translator did a great job).
-
New auditing framework explains medical AI decision-making
By
–
A new auditing framework explains the decision-making of medical AI models.
-
Google Gemini Advanced: Detailed Tasting Notes Analysis
By
–
From my discussion of Gemini. https://
oneusefulthing.org/p/google-gemin
i-advanced-tasting-notes
… -
Emergent AGI Properties in Large Language Models
By
–
Claude 3 is full of ghosts, in the same way as GPT-4 & Gemini Advanced is full of ghosts. I suspect the “sparks” of AGI in GPT-4 are not an isolated phenomenon, but rather may be an emergent property of GPT-4 class models. When an AI model is large enough, you can get ghosts.
-
Data Labeling in Machine Learning with Python
By
–
[New release from @PacktPublishing
]
Data Labeling in #MachineLearning with #Python — Explore modern ways to prepare labeled data for training and fine-tuning #ML and #GenerativeAI models: https://
amzn.to/49Qm4Vc
————
#DataScience #AI #GenAI #DeepLearning #DataStrategy -
LLM Hallucinations and Prompt-Hacking Performance Analysis
By
–
The tweet you quoted is wrong; I think the person clarifies right in the last tweet.
Its comparing apples to oranges — comparing OOB performance to prompt-hacking performance. Regardless — there's occasional hallucinations and weirdness in AINews because its LLM-Summarized -
Maximizing LLM Performance Without Additional Training
By
–
Last year, Stanford researcher Simran Arora shared insights on an approach to maximize the performance of large language models without the need for additional training on the LLMs. Watch the full video here: https://
youtube.com/watch?v=NDNCAU
eHoX0
… #AI #softwaredevelopment #foundationmodels -
Kirk Borne Receives Updated 3rd Edition of Transformers Book
By
–
WOW! I just received (minutes ago) my copy of the updated 3rd Edition of this book: https://
amzn.to/3TkBknI
"Transformers for Natural Language Processing and Computer Vision: Explore #GenerativeAI and Large Language Models #LLMs with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3"