Meta has released Llama 2, its next-generation, open-source large language model, represented by 7 billion, 13 billion, and 70 billion parameter versions. The company has made this model accessible for research and commercial applications, fostering further development in the field.
Join us for an insightful talk as we delve deep into the intricacies of assessing the performance and quality of LLMs and discover the best practices to ensure the reliability and accuracy of your LLM applications.
Upcoming Data Phoenix community webinars: LLM evaluations, multilingual semantic search, rise in the use of synthetic data for regulated industries, how to use LLMs to interface with multiple data sources, best practices for building LLM-based applications, leveraging LLMs for enterprise usage.
This talk will discuss ways to reduce costs for NLP inference through a better choice of model, hardware, and model compression techniques.
Using LLMs is cool. Building end-to-end apps with LLMs is even cooler. Join Greg Loughnane and Chris Alexiuk on Wednesday, 5 July, to learn how to use LangChain to make some LLMOps magic happen.
This talk will discuss ways to reduce costs for NLP inference through a better choice of model, hardware, and model compression techniques.
This talk will discuss how businesses can leverage FMs using Prompt Engineering and build Generative AI applications in the cloud.
This talk will discuss how businesses can leverage Foundation Models using Prompt Engineering and build Generative AI applications in the cloud.
Upcoming webinars and video records of our past events, how you can evaluate your ML model, how to build ML pipeline, using activation functions in DL models, monitoring Time Series model, DragGAN, BloombergGPT, HuaTuo, SAM, reproducible DL course, and more.
Upcoming webinars about unlocking data value with LLM and reducing NLP Inference costs, testing ML models for production, how to train your own LLM, 3D generation on ImageNet, universal guidance for diffusion models, CompressGPT, FriendlyCore, S-NeRF, QA4RE, and more.
Learn about the Databricks Lakehouse Platform, unifying data lakes and warehouses for reliable, governed, and flexible data solutions.
Upcoming webinars about unlocking data value with LLM and reducing NLP Inference costs, testing ML models for production, how to train your own LLM, CompressGPT, FriendlyCore, 3D generation on ImageNet, guidance for diffusion models, S-NeRF, QA4RE, and more.