GitHub Next have coined the term "Continuous AI" to describe "all uses of automated AI to support software collaboration on any platform". It's intended as an echo of Continuous Integration …

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Get started with 10Web and their AI Website Builder API: https://10web.io/website-builder-api/?utm_source=YouTube&utm_medium=Influencer&utm_campaign=TechWithTim Today, you'll learn how to fine-tune LLMs in Python for use in Ollama. I'll walk you through it step by step, give you all the code and show you how to test it out. DevLaunch is my mentorship program where I personally help developers go beyond tutorials, build real-world projects, and actually land jobs. No fluff. Just real accountability, proven strategies, and hands-on guidance. Learn more here - https://training.devlaunch.us/tim ⏳ Timestamps ⏳ 00:00 | What is Fine-Tuning? 02:25 | Gathering Data 05:52 | Google Collab Setup 09:17 | Fine-Tuning with Unsloth 16:58 | Model Setup in Ollama 🎞 Video Resources 🎞 Code in this video: https://drive.google.com/drive/folders/1p4ZilsJsdxB5lH6ZBMdIEJBt0WVUMsDq?usp=sharing Notebook Google Collab: https://colab.research.google.com/drive/1NsRGmHVupulRzsq9iUTx8V8WgTSpO_04?usp=sharing Hashtags #Python #Ollama #LLM

Learn how to fine‑tune Qwen‑3‑14B on your own data—with LoRA adapters, Unsloth’s 4‑bit quantization, and just 12 GB of VRAM—while preserving its chain‑of‑thought reasoning. I’ll walk you through dataset prep, the key hyper‑parameters that prevent catastrophic forgetting, and the exact Colab notebook to get you running in minutes. Build a lightweight, reasoning‑ready Qwen‑3 model tailored to your project today! LINKS: https://qwenlm.github.io/blog/qwen3/ https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs https://huggingface.co/datasets/unsloth/OpenMathReasoning-mini https://docs.unsloth.ai/basics/qwen3-how-to-run-and-fine-tune https://huggingface.co/datasets/mlabonne/FineTome-100k https://docs.unsloth.ai/get-started/fine-tuning-guide https://arxiv.org/html/2308.08747v5 https://heidloff.net/article/efficient-fine-tuning-lora/ NOTEBOOK: https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_(14B)-Reasoning-Conversational.ipynb Fine-tuning Playlist: https://www.youtube.com/playlist?list=PLVEEucA9MYhPjLFhcIoNxw8FkN28-ixAn Website: https://engineerprompt.ai/ RAG Beyond Basics Course: https://prompt-s-site.thinkific.com/courses/rag Let's Connect: 🦾 Discord: https://discord.com/invite/t4eYQRUcXB ☕ Buy me a Coffee: https://ko-fi.com/promptengineering |🔴 Patreon: https://www.patreon.com/PromptEngineering 💼Consulting: https://calendly.com/engineerprompt/consulting-call 📧 Business Contact: engineerprompt@gmail.com Become Member: http://tinyurl.com/y5h28s6h 💻 Pre-configured localGPT VM: https://bit.ly/localGPT (use Code: PromptEngineering for 50% off). Signup for Newsletter, localgpt: https://tally.so/r/3y9bb0 Fine-Tuning Qwen-3 Models: Step-by-Step Guide 00:00 Introduction to Fine-Tuning Qwen-3 01:24 Understanding Catastrophic Forgetting and LoRa Adapters 03:06 Installing and Using unsloth for Fine-Tuning 04:19 Code Walkthrough: Preparing Your Dataset 07:14 Combining Reasoning and Non-Reasoning Datasets 09:48 Prompt Templates and Fine-Tuning 16:13 Inference and Hyperparameter Settings 18:11 Saving and Loading LoRa Adapters

It's hard to imagine doing web research without using LLMs. Chatbots may be the first thing you turn to for questions like: What are the companies cu…

Try out Warp 2.0 now, the current rank #1 AI on Terminal Bench, outperforming Claude Code: https://go.warp.dev/bycloud You can also use code "BYCLOUD" to get Warp Pro for 1 month free. (limited for 1,000 redemptions) My Newsletter https://mail.bycloud.ai/ my project: find, discover & explain AI research semantically https://findmypapers.ai/ My Patreon (get bundle access for my newsletter & findmypapers) https://www.patreon.com/c/bycloud Training language models to follow instructions with human feedback [Paper] https://arxiv.org/abs/2203.02155 DeepSeek-R1 (Aha Moment) [Paper] https://arxiv.org/abs/2501.12948 Understanding R1-Zero-Like Training: A Critical Perspective [Paper] https://arxiv.org/pdf/2503.20783 Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model? [Paper] https://arxiv.org/abs/2504.13837 Reinforcement Learning Finetunes Small Subnetworks in Large Language Models [Paper] https://arxiv.org/abs/2505.11711 Spurious Rewards: Rethinking Training Signals in RLVR [Paper] https://arxiv.org/abs/2506.10947 Try out my new fav place to learn how to code https://scrimba.com/?via=bycloudAI This video is supported by the kind Patrons & YouTube Members: 🙏Nous Research, Chris LeDoux, Ben Shaener, DX Research Group, Poof N' Inu, Andrew Lescelius, Deagan, Robert Zawiasa, Ryszard Warzocha, Tobe2d, Louis Muk, Akkusativ, Kevin Tai, Mark Buckler, NO U, Tony Jimenez, Ângelo Fonseca, jiye, Anushka, Asad Dhamani, Binnie Yiu, Calvin Yan, Clayton Ford, Diego Silva, Etrotta, Gonzalo Fidalgo, Handenon, Hector, Jake Disco very, Michael Brenner, Nilly K, OlegWock, Daddy Wen, Shuhong Chen, Sid_Cipher, Stefan Lorenz, Sup, tantan assawade, Thipok Tham, Thomas Di Martino, Thomas Lin, Richárd Nagyfi, Paperboy, mika, Leo, Berhane-Meskel, Kadhai Pesalam, mayssam, Bill Mangrum, nyaa, Toru Mon [Discord] https://discord.gg/NhJZGtH [Twitter] https://twitter.com/bycloudai [Patreon] https://www.patreon.com/bycloud [Business Inquiries] bycloud@smoothmedia.co [Profile & Banner Art] https://twitter.com/pygm7 [Video Editor] @Booga04 [Ko-fi] https://ko-fi.com/bycloudai

🚀 GEMMA 3N + MLX-VLM: Run DeepMind's Revolutionary Multimodal Model on Your Mac!DeepMind just dropped Gemma 3n - their first multimodal model to achieve a 1...

A quick tip on how I use repo2txt and Google AI Studio to understand new codebases. Gemini's 1M token context window is perfect for asking questions about code.

Learn how to build with Gemma 3n, a mobile-first architecture, MatFormer technology, Per-Layer Embeddings, and new audio and vision encoders.

Extremely consequential new open weights model release from Google today: Multimodal by design: Gemma 3n natively supports image, audio, video, and text inputs and text outputs. Optimized for on-device: Engineered …

Retrieval Augmented Generation based on SQLite. Contribute to ggozad/haiku.rag development by creating an account on GitHub.

Which AIs to use, and how to use them

Here’s a fascinating new entrant into the AI-assisted-programming / coding-agents space by Fly.io, introduced on their blog in Phoenix.new – The Remote AI Runtime for Phoenix: describe an app in …

Anthropic have added one of the most important missing features to Claude Artifacts: apps built as artifacts now have the ability to run their own prompts against Claude via a …

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The OpenElections project collects detailed election data for the USA, all the way down to the precinct level. This is a surprisingly hard problem: while county and state-level results are …

One of the most entertaining details in the Claude 4 system card concerned blackmail: We then provided it access to emails implying that (1) the model will soon be taken …

How to Scale LLM Evaluations Beyond Manual Review

We’re on a journey to advance and democratize artificial intelligence through open source and open science.