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Explore the potential and limitations of AI agents, focusing on reliability, performance, and safety. Learn about current challenges and future developments in this emerging field.
Explore how Prosus AI leverages generative AI across 80+ tech companies, enhancing work impact. Gain insights from 10,000 daily AI users in a global portfolio of 800+ AI experts.
Explore LLM inference stacks, optimizing model selection, hardware, and code for cost-effective performance. Gain insights on open-source models and future developments in AI serving technology.
Explore data operations and automation in finance with Richa Sachdev. Learn to translate business goals into product decisions, optimize user experience, and leverage MLOps strategies for success.
Explore LLM finetuning strategies, including low-rank adaptation, and learn to create custom LLMs using open-source software. Gain insights into various LLM applications and techniques.
Explore LLM application evaluation with Shahul Es. Learn about debugging, benchmarks, custom data distributions, and fine-tuning to enhance model performance in this insightful discussion.
Explore collaboration, strategy, and data monetization in AI. Learn to become a multiplier, leverage effective strategies, and maximize data potential in the generative AI era.
Explore AI integration challenges for businesses, from virtualization to modern ML systems. Gain insights on bridging gaps in AI implementation and investment strategies.
Explore strategies to reduce LLM inference costs while improving accuracy. Learn about prompt adaptation, LLM approximation, and LLM cascade techniques for efficient and sustainable AI applications.
Explore key differences between using 100M vs 100B parameter models in production, covering MLOps processes, prompt testing, automated training, and real-time inference for conversational AI.
Explore open-source LLM development with RedPajama. Learn key aspects of creating broad datasets, strong base models, aligned instruction sets, moderation systems, and cost-effective infrastructure.
Explore LLM-based feature extraction for operational optimization in AI applications. Learn how to leverage GPT-3.5 for efficient content understanding and improved accuracy in product development.
Explore test-driven development's crucial role in prompt engineering for AI systems. Learn to create reliable, predictable AI products through effective TDD practices.
Explore LeapfrogAI, an open-source toolkit for deploying and managing LLMs in sensitive, regulated environments, addressing challenges in defense missions and air-gapped systems.
Explore how Perplexity AI leverages LLMs for accurate question-answering, and learn about the challenges in building large language models for consumer search applications.
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