Jean Louis PRO

JLouisBiz

https://www.StartYourOwnGoldMine.com

AI & ML interests

- LLM for sales, marketing, promotion - LLM for Website Revision System - increasing quality of communication with customers - helping clients access information faster - saving people from financial troubles

Recent Activity

replied to m-ric's post about 9 hours ago

New king of open VLMs: InternVL3 takes Qwen 2.5's crown! 👑 InternVL have been a wildly successful series of model : and the latest iteration has just taken back their crown thanks to their superior, natively multimodal vision training pipeline. ➡️ Most of the vision language models (VLMs) these days are built like Frankenstein : take a good text-only Large Language Model (LLM) backbone, stitch a specific vision transformer (ViT) on top of it. Then the training is sequential 🔢 : 1. Freeze the LLM weights while you train the ViT only to work with the LLM part, then 2. Unfreeze all weights to train all weights in order to work together. 💫 The Shanghai Lab decided to challenge this paradigm and chose this approach that they call "native". For each of their model sizes, they still start from a good LLM (mostly Qwen-2.5 series, did I tell you I'm a huge fan of Qwen? ❤️), and stitch the ViT, but they don't freeze anything : they train all weights together with interleaved text and image understanding data in a single pre-training phase 🎨. They claim it results in more seamless interactions between modalities. And the results prove them right: they took the crown of top VLMs, at nearly all sizes, from their Qwen-2.5 parents. 👑

replied to burtenshaw's post about 21 hours ago

Hacked my presentation building with inference providers, Cohere command a, and sheer simplicity. Use this script if you’re burning too much time on presentations: 🔗 https://github.com/burtenshaw/course_generator/blob/main/scripts/create_presentation.py This is what it does: - uses command a to generates slides and speaker notes based on some material. - it renders the material in remark open format and imports all images, tables, etc - you can then review the slides as markdown and iterate - export to either pdf or pptx using backslide 🚀 Next steps are: add text to speech for the audio and generate a video. This should make Hugging Face educational content scale to a billion AI Learners.

replied to hesamation's post about 21 hours ago

OpenAI just released a 34-page practical guide to building agents, Here's 10 things it teaches us: 1➜ agents are different from workflows: they are complete autonomous systems that perform tasks on your behalf. many applications use LLMs for workflows, but this is not an agent. 2➜ use them for tricky stuff: complex decision making, dynamic rules, unstructured data 3➜ core recipe: each agent has three main components: Model (the brain), Tools, Instructions on how to behave 4➜ choose the right brain: set up evals to get a baseline performance, use a smart model to see what's possible, gradually downgrade the model for cost and speed 5➜ tools are key: choose well-defined and tested tools. an agent needs tools to retrieve data and context, and take actions. 6➜ instruction matters A LOT: be super clear telling the agent its goals, steps, and rules. Vague instructions = unpredictable agent. Be explicit. 7➜ start simple, then scale: often a single agent with several tools is ok. don't jump to complex multi-agent systems immediately. 8➜ if you use multi-agents: you can have a "manager" agent directing traffic to specialist agents, or have agents hand off tasks to each other. 9➜ gaurdrails are a MUST: check user input for weird stuff, make sure the agent isn't about to do something risky, filter out private info, block harmful content. Don't let it run wild. 10➜ build and plan for humans: start small, test, improve. always have a plan for when the agent gets stuck or is about to do something high-risk. Download: https://t.co/fJaCkgf7ph

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This is short demonstration of large language model integration into a user's workflow. This is helping to quickly save or capture whatever you have copied to your clipboard. It goes into the database. In your case, it could go to the file. It could be published quickly. You could make a one-click page or one-click document. Eventually, it becomes immediately a note for later use.

https://discord.gg/N2BRPZ2jKb

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