The TOC as a tl;dr
1. Of course, the Llama 3 series as one of the main open-weight model releases this year, featuring more sophisticated pre- and post-training pipelines
2. Techniques for improving LLMs by scaling inference-time compute
3. The different multimodal LLM paradigms
GENERATIVE AI
-
Llama 3, Inference Scaling, and Multimodal LLM Paradigms 2025
By
–
-
Groq Accelerates Sourcetable’s AI-Powered Spreadsheet Revolution
By
–
The spreadsheet is the most widely used analytical software application in the world. @SourcetableApp has revolutionized the tool, enabling users to clean data, automate research & analyze files with Al. Learn how Groq is accelerating Sourcetable: https://
hubs.la/Q032zK_60 -
Noteworthy AI Research Papers 2024 Part 2 Review
By
–
Catching up on improving LLMs by scaling inference-time compute, new LLM scaling laws for precision, and more…
"Noteworthy AI Research Papers 2024 Part 2" is now formatted and published. It was certainly an eventful year for this fast-moving field: -
Human Expertise Blended With AI Tools Creates Quality Art
By
–
AI or not, this is art. Don’t be fooled though, the average user of these tools is not creating this quality and length. This is human video and storytelling expertise blended with AI tools. Human + AI. https://t.co/eNCJqPxyNN
— Paul Roetzer (@paulroetzer) 15 janvier 2025AI or not, this is art. Don’t be fooled though, the average user of these tools is not creating this quality and length. This is human video and storytelling expertise blended with AI tools. Human + AI.
-
Learning Image LoRA Tuning Through Practical Experimentation and Datasets
By
–
my own learning from using tuners is that you learn by doing. like we know to some degree what will happen to the output of an image Lora depending on what params we change and we’ve found it to be more intuition than science. Also, dataset.
-
GUI Setup for LoRA Trainer Tools
By
–
Ok maybe it’ll setup a GUI for you like some of the Lora trainers
-
From Traditional ML Training to ChatGPT-Based Model Development
By
–
1. Paper w/math -> training code -> hyperparams + data -> model -> wrapper 2. Paper w/math -> chatGPT + data -> wrapper At what time point does 1 to 2 happen? (If at all)
-
Joyplan App Enables AI-Powered Virtual Home Design Tours
By
–
Gracias a la app Joyplan, cualquiera puede diseñar de la casa de sus sueños y crear una visita virtual para hacerte a la idea del resultado.
— Juan Merodio (@juanmerodio) 15 janvier 2025
Simplemente genial! pic.twitter.com/fJbh2PbwzkGracias a la app Joyplan, cualquiera puede diseñar de la casa de sus sueños y crear una visita virtual para hacerte a la idea del resultado. Simplemente genial!
-
Image Generation Models: From Creative Use to Industrial Applications
By
–
Image-generation models have come a long way, now producing images so realistic that they are often hard to distinguish from real ones.
— Satya Mallick (@LearnOpenCV) 15 janvier 2025
While many enthusiasts have explored models like Stable Diffusion for creative and entertaining purposes, the practical industrial applications… pic.twitter.com/82bicejNx4Image-generation models have come a long way, now producing images so realistic that they are often hard to distinguish from real ones. While many enthusiasts have explored models like Stable Diffusion for creative and entertaining purposes, the practical industrial applications
-

AI Breakthroughs: Super Intelligence, Nvidia, Microsoft Investments
By
–
𝕀𝔸 : 𝕝𝕖 𝕘𝕣𝕒𝕟𝕕 𝕔𝕙𝕒𝕞𝕓𝕒𝕣𝕕𝕖𝕞𝕖𝕟𝕥 Super intelligence : la surenchère d’OpenAI Nvidia fait le show au #CES2025
Microsoft va investir 80 Mrds$ NeuroXess concurrence Neuralink Et bien plus encore sont au menu de la 22 e édition de 𝕄𝕖𝕤 𝔽𝕝𝕒𝕤𝕙𝕤