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Learn how to align LLMs using TRL: from supervised fine-tuning to advanced reasoning with DPO and GRPO, all on limited hardware with LoRA.
Meta's Autodata framework uses AI agents as autonomous data scientists to iteratively create high-quality training data, outperforming traditional methods.
Explore an end-to-end neuroAI pipeline that decodes word length from MEG signals using NeuralSet and a convolutional neural network, revealing the power of deep learning in brain decoding.
NVIDIA integrates speculative decoding into NeMo RL, achieving 1.8x faster rollout generation at 8B scale and projecting 2.5x end-to-end speedup at 235B—all without distribution loss.
Learn how to load, parse, analyze, visualize, and prepare the lambda/hermes-agent-reasoning-traces dataset for fine-tuning, with practical insights into agent thinking and tool use.
A practical guide to building a multi-agent AI pipeline in Colab for systems biology, covering data generation, network analysis, interaction prediction, metabolism optimization, and signaling simulation with LLM-driven interpretation.
Mistral AI launches cloud-based coding agents for Vibe and upgrades to Mistral Medium 3.5, scoring 77.6% on SWE-Bench. Sessions run remotely, integrate with GitHub and Slack.
Tokenization drift causes model degradation from minor formatting changes. Learn causes, measurement, and mitigation using GPT-2 tokenizer examples.
Sakana AI's KAME architecture combines low-latency direct S2S with real-time LLM knowledge via a novel oracle stream, resolving the speed-intelligence tradeoff in conversational AI.
Google's TurboQuant compresses LLM key-value caches and vector search indices up to 4× with minimal accuracy loss, enabling efficient RAG system deployment.
Learn how to build AI agents using Cursor's model-agnostic harness (SDK) and deploy them locally or on cloud VMs, following the company's shift from IDE to orchestration.
A step-by-step guide to using Mistral's Vibe coding agent in the cloud and Le Chat's Work Mode, covering setup, teleportation, and best practices.
Learn to leverage IBM Bob for enterprise AI development with security, audit trails, and multi-model orchestration. Achieve up to 70% productivity gains.
A guide to SUSE's AI-native infrastructure: unifying containers, VMs, and AI agents (Liz) via its three-layer architecture for modern workloads.
Learn to deploy generative AI inference on Kubernetes with Kubeflow, guardrails, and production scaling. Step-by-step guide based on CNCF data: 66% use K8s for AI inference.
Guide to using Incredibuild Islo for persistent, isolated AI agent environments: problem overview, setup steps, credential scoping, and common mistakes.
A practical tutorial to modernize mainframes for AI: assess cultural readiness, adopt Zowe, expose APIs, integrate with ML pipelines, and avoid common pitfalls.
10 insights into the creative process: from embracing mystery to managing enthusiasm, accepting imperfect work, and trusting dreams.
AI offers transformative potential in accessibility through human-in-the-loop alt text, contextual image analysis, and ethical design, balancing hope with necessary skepticism.
Explore eight transformative shifts in web design and development, from early table hacks to modern frameworks, mirroring the eternal cycle of learning and change.