MACHINE LEARNING

Why models don’t know their own release version

By

–

26 December 2024 21h07

A model can’t know its own release version because it’s usually only decided that a trained model *should* be a release version once it’s fully post-trained, red-teamed, etc. Human demonstrations are necessarily older. Claude I assume would learn it in RLAIF.

→ View original post on X — @terence_mills

Is Artificial Intelligence Making Human Learning Obsolete?

By

@terence_mills

–

26 December 2024 21h00

Is Artificial Intelligence Turning Human Learning a Thing of the Past?
#AI #AIio #BigData #ML #NLU #Futureofwork @CRudinschi @AntonioSelas @alexjc @RobotLaunch @karpathy @andyjankowski @bobgourley @CadeMetz

Comment on system prompt and post-training practicality

By

–

26 December 2024 19h41

Yeah sorry, was unclear this is coming from the system prompt — the reason I ask this is because it’s impractical to teach it in post-training. Added a comment to the thread:

→ View original post on X — @reach_vb

Data Quality Limitations in AI Model Development

By

@reach_vb

–

26 December 2024 19h00

if they could've, they would've, provided they have enough high quality data as DS – twitter slop will only go as far

→ View original post on X — @nathanbenaich

DeepSeek-V3 Technical Paper Released

By

@nathanbenaich

–

26 December 2024 18h49

read the paper https://
github.com/deepseek-ai/De
epSeek-V3/blob/main/DeepSeek_V3.pdf
…

ChatGPT struggles to identify its own model

By

–

26 December 2024 18h36

ChatGPT is surprisingly bad at knowing what model it’s using — it either confidently gives an incorrect version or at best it’s vague (“based on the GPT-4 architecture”). No current model seems to ever know its exact name.

Comparing LLMs on identifying their version

By

–

26 December 2024 18h36

This is such a vibes-based eval, but the first prompt I give any new LLM is “Which version is this?” and DeepSeek-V3 nailed it See below for how Claude, Gemini, ChatGPT, and Grok fare on the same — TLDR: it’s all over the map

→ View original post on X — @kirkdborne

Data LLMs: Extracting Insights and Stories from Your Data

By

@kirkdborne

–

26 December 2024 18h30

Your data has a story to tell. You can use @AbacusAI #DataLLM to detect the patterns in your data, extract hidden insights, and generate data stories, reports, #DataViz, & narratives for you: https://
blog.abacus.ai/blog/2023/08/2
4/data-llm-get-insights-from-your-data/
…
————
#AI #LLMs #MachineLearning #DataScience #GenerativeAI #IoT