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Comprehensive overview of prompt engineering techniques, from basics to advanced, with tools, applications, and future directions. Includes resources for further learning and practice.
Explore NLP/ML tools, datasets, projects, and papers in this biweekly meeting. Learn about language-conditioned policy learning, effective ML testing, and EagerPy.
Discover effective strategies for reading and annotating machine learning papers, including note-taking techniques and methods to stay informed on the latest research in ML and NLP.
Learn to build tools and frameworks for large-scale social media mining, focusing on creating data infrastructure for COVID-19 research using Twitter data. Gain insights on challenges, solutions, and best practices.
Explore the journey to becoming an NLP engineer and researcher, covering learning resources, research skills, publishing tips, and career guidance in this comprehensive talk.
Explore key milestones, challenges, and new directions in sentiment analysis, covering topics from polarity detection to multimodal analysis and sentiment reasoning.
Explore neural search techniques, from basics to advanced applications, using Jina for text, audio, and video. Learn to build efficient, scalable search engines with practical insights.
Explore latest AI advancements: Moshi, RAG practices, State of AI Report, Million Tiny Experts, GPT4All, and RouteLLM. Gain insights into cutting-edge developments shaping the future of artificial intelligence.
Discover how to leverage Claude's advanced features for efficiently summarizing complex AI research papers, enhancing comprehension and productivity.
Explore cutting-edge AI developments: prompt caching, advanced agents, efficient retrieval, model distillation, and more. Stay informed on the latest breakthroughs shaping the future of artificial intelligence.
Explore an innovative AI system that automates scientific paper writing and review processes, revolutionizing research workflows and accelerating scientific progress.
Explore how structured generation techniques impact LLM reasoning performance, examining recent research findings and their implications for AI development.
Explore the groundbreaking Qwen-2 Math 72B Instruct, a state-of-the-art open Math LLM, and its potential impact on mathematical problem-solving and AI advancements.
Learn to build efficient custom models using Mistral AI's new Agents and Fine-tuning features in this tutorial covering announcements, implementation, and practical applications.
Learn about OpenAI's new structured output feature for APIs, enabling more precise and controlled responses from models like GPT-4. Explore implementation and potential applications.
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