Jimmy, any releasedate for AGi/ GPT5?
LLMS
-
Karpathy’s LLM Technical Explainer: Essential 101 Guide
By
–
3 different people have sent me this video in under 24hrs, so I watched it and can confirm this is a VERY clear, accessible and spot on practical technical explainer of LLMs… great 101… by the ever-awesome @karpathy – highly recommended
-
Building Transformers: Concept and Implementation from Scratch
By
–
Transformer: Concept and code from scratch https://
bit.ly/45YXobu #AI #MachineLearning #DeepLearning #LLMs #DataScience -
GPT-4 Vision Alternatives: Comprehensive Roboflow Analysis
By
–
Roboflow's article (well done folks!) https://
blog.roboflow.com/gpt-4-vision-a
lternatives/
… -
4 Open-Source GPT-4 Vision Alternatives: Qwen-VL and CogVLM
By
–
Looking for open-source #GPT4 Vision alternatives? Here are 4 excellent options Qwen-VL
– Code: https://
github.com/QwenLM/Qwen-VL
– Paper: https://
arxiv.org/abs/2308.12966
– Demo: https://
colab.research.google.com/github/camendu
ru/Qwen-VL-Chat-colab/blob/main/Qwen_VL_Chat_colab.ipynb
… CogVLM
– Code: https://
github.com/THUDM/CogVLM
– Paper: https://
arxiv.org/abs/2311.03079
– Demo: -
AI Chatbots Transform Customer Service with GPT-4 Turbo
By
–
La atención al cliente va a vivir una revolución gracias a la inteligencia artificial. Los chat bots impulsados por Chat GPT 4 Turbo serán capaces de responder a los usuarios y solucionar sus problemas incluso mejor que un asistente de carne y hueso, pero mucho más barato.… pic.twitter.com/VEWB35Ph2Y
— Juan Merodio (@juanmerodio) 23 novembre 2023La atención al cliente va a vivir una revolución gracias a la inteligencia artificial. Los chat bots impulsados por Chat GPT 4 Turbo serán capaces de responder a los usuarios y solucionar sus problemas incluso mejor que un asistente de carne y hueso, pero mucho más barato.
-
Top AI Labs Race to Add Planning Reasoning Capabilities
By
–
No.
Everyone in top AI research labs is working on giving dialog systems the ability to plan & reason.
There are projects along those lines at Meta-FAIR, DeepMind, and OpenAI, with early results (if you follow the literature).
Q* is just one such project among many. The planning -
LLMs Struggle With Logical Equivalence in Prompts
By
–
That statement is easily retrived.
But tests have shown that when faced with a situation in which the answer requires to know that B is the same as A, when the prompt clearly says that A is the same as B, the best LLMs often don't answer correctly. -
Implementing Llama from Scratch: A Practical Guide
By
–
Llama from scratch (or how to implement a paper without crying) https://
bit.ly/3PmBVCi #AI #MachineLearning #DeepLearning #LLMs #DataScience -
LLMs lack basic logical reasoning despite massive training data
By
–
Current LLMs are trained on text data that would take 20,000 years for a human to read.
And still, they haven't learned that if A is the same as B, then B is the same as A.
Humans get a lot smarter than that with comparatively little training data.
Even corvids, parrots, dogs,