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Master end-to-end LLM fine-tuning with W&B Models, from experiment tracking to model deployment in production. Learn to publish models, automate evaluations, and implement CI/CD workflows for efficient AI development.
Explore advanced RAG techniques, from basic concepts to production-ready implementations, in this comprehensive guide to enhancing AI-powered information retrieval systems.
Explore language models in enterprise with Chris Van Pelt: strategies for startups, AI experimentation, product evolution, and leveraging customer insights for innovation in the rapidly evolving AI landscape.
Explore computer vision advancements with Weights & Biases and SmartCow. Learn about Ultralytics, object detection metrics, and practical implementations for enhancing ML projects.
Explore advanced RAG techniques for complex queries, diverse data sources, and evaluation methods to enhance system flexibility and performance in handling sophisticated user requests.
Explore advanced LLM-powered competitive programming using RAG for code generation. Learn to design robust architectures, implement AST-based similarity search, and enhance few-shot learning for AI agents.
Explore DSPy's innovative approach to code generation, enhancing AI capabilities for developers and researchers in neural information processing systems.
Explore DSPy, a Stanford framework for optimizing language model pipelines in code generation. Learn its applications, potential, and hands-on usage with the HackerCup dataset.
Explore groundbreaking AI inference technology with Cerebras Systems CEO, discussing wafer-scale chips, architectural innovations, and the future of machine learning in production environments.
Strategies for fine-tuning large language models with limited resources: memory optimization, gradient accumulation, activation checkpointing, LoRa, and dataset quality. Practical advice for 40 GB VRAM GPU constraints.
Explore SWEAgent: AI tool for solving complex coding challenges. Learn setup, customization, and practical applications through live demonstrations and real-world examples.
Explore TorchRL and TensoDict for advanced reinforcement learning in PyTorch, covering RLHF, data handling, and practical applications for streamlined RL workflows.
Explore AI agents' impact on code generation and software development with Imbue CEO Kanjun Qiu. Learn about autonomous AI systems, practical research, and the challenges of creating AI that writes and verifies code.
Explore MLOps evolution in e-commerce, focusing on LLMs' impact, key investments, and real-world examples from Booking.com's AI implementation and scaling challenges.
Explore techniques to enhance LLM factual consistency using out-of-domain data and two-step fine-tuning. Learn to leverage Weights & Biases for model evaluation and improve hallucination detection.
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