ChatGPT for iOS got a new model selector enabled on the prompt bar A similar selector was available on macOS app and being prepared for the release on the web.
LLMS
-
Large Concept Models: New AI Frontier Beyond Token-Level Language
By
–
Check out the latest article in my newsletter: Large Concept Models (LCM): A New Frontier in AI Beyond Token-Level Language Models https://
linkedin.com/pulse/large-co
ncept-models-lcm-new-frontier-ai-beyond-giuliano-liguori–dnj3f
… via @ingliguori -
New UI for Custom Instructions on ChatGPT rolling out
By
–
A new UI for Custom Instructions on ChatGPT is being rolled out to some users h/t @Makuh90
-
Llama 3.3 on SambaNova Cloud: 64K Token Context
By
–
Step into 2025 with Llama 3.3 Explore context lengths of 64K tokens and build #Agents with other models — all on SambaNova Cloud! Need higher rate limits? Just let us know! Try it out now https://
cloud.sambanova.ai #Devs #AI -
Alibaba Qwen launches AI web app with HTML rendering and file uploads
By
–
BREAKING 🚨: @Alibaba_Qwen launched its AI web app with support for HTML rendering in artefacts, file uploads and more 🔥
— 🚨 AI News | TestingCatalog (@testingcatalog) 9 janvier 2025
Some features announced for the future release: web search, image generation, voice mode, and more!
One more contender 👀 pic.twitter.com/NW5LiXARlkBREAKING : @Alibaba_Qwen launched its AI web app with support for HTML rendering in artefacts, file uploads and more Some features announced for the future release: web search, image generation, voice mode, and more! One more contender
-
Synthetic Data for Pretraining: Proof-of-Concept Study
By
–
True, but I think it's more of a proof-of-concept / study of synthetic data for pretraining rather than generating a production-ready model.
-
Intersection of Pretrained LLM and Tool-Use Technology
By
–
Yeah, that's basically at the intersection of pretrained LLM and tool-use.
-
Synthetic Data Format Benefits Versus Raw Data Knowledge Quality
By
–
Yes. I think the main benefit is that it comes in a more structured or refined format compared to raw data. But the knowledge is the same as in the raw data (and may even be more hallucinated), considering that raw data was used to generate the synthetic data through a model.
-
Mastering RAG: Vector Databases and Prompt Engineering for AI Professionals
By
–
This book is designed for AI researchers, data scientists, software developers, and business analysts looking to: Enhance data retrieval and AI accuracy using Retrieval-Augmented Generation (RAG). Master practical techniques like vector databases and prompt engineering.
-
Generative AI and RAG: Enhance LLMs with Internal Data Integration
By
–
Unlocking Data with #GenerativeAI and RAG — Enhance Generative #AI systems by integrating internal data with large language models using RAG: https://
amzn.to/3PtFHdv v/ @PacktPublishing —————
#GenAI #LLMs #MachineLearning #KnowledgeGraph #DataScience #DataScientist #ad