Join the Data Phoenix webinar in which Dmytro Spodarets, together with guest Gloria Felicia (CEO and co-founder of InsightCircle AI), will explore potential risks, break down advanced defense methods, and share the latest on keeping Large Language Models safe.
This talk will share some reference architectures and demos for emerging Generative AI applications and use cases.
This talk will discuss foundation and ChatGPT-style models, GenAI and LLM technology at NVIDIA, shortcomings, and proposed guardrails.
Arthur released Arthur Bench, an open-source tool to help users find the best LLM for a particular data set by evaluating how different LLMs will perform in real-world scenarios.
This talk will share some reference architectures and demos for emerging Generative AI applications and use cases.
During the talk, we will review the existing tools and see how to move from development to production without a headache.
Join the Data Phoenix webinar in which Dmytro Spodarets, together with guest Zenodia Charpy (Senior Deep Learning Data Scientist, NVIDIA), will dive into foundation and ChatGPT-style models, generative AI and LLM technology at NVIDIA, shortcomings, and proposed guardrails, and the road ahead.
This talk will dive into “data frameworks” like LlamaIndex, and demonstrate how to create hierarchical indexes from different data sources.
Best practices for building LLM-based applications, pandas for time series, use Stable Diffusion XL with Amazon SageMaker JumpStart, training Diffusion models with Reinforcement Learning, AI / ML / LLM / Transformer models timeline and list, GigaGAN, FABRIC, AnimateDiff, AutoRecon, and more.
This talk will discuss synthetic data, some impactful use cases associated with it, and the challenges companies face while harnessing it.
Join DataPhoenix and 10,000 tech leaders, investors, and founders at TechCrunch Disrupt in San Francisco on Sept 19-21. Don’t miss interviews and sessions with trailblazing visionaries from Anthropic, DeepMind, Salesforce, Sequoia Capital, and more on AI Stage!
This talk will discuss why multilingual semantic search is amazing, how respective models are trained, and the new use cases this unlocks.