Unleashing the Magic of Large Language Modeling with Dolly 2.0
Description
As the field of artificial intelligence continues to advance at an unprecedented pace, LLMs are becoming increasingly powerful and transformative. LLMs use deep learning techniques to analyze vast amounts of text data, and can generate language that is like human language. These models have been used for a wide range of applications, including language translation, chatbots, text summarization, and more. Dolly 2.0 is the first open-source, instruction-following LLM that has been fine-tuned on a human-generated instruction dataset – with zero chance of copyright implications. This makes it an ideal tool for research and commercial use, and opens up new possibilities for businesses looking to streamline their operations and enhance their customer service offerings. In this session, we will provide an overview of Dolly 2.0, discuss its features and capabilities, and showcase its potential through a demo of Dolly in action. Attendees will gain insights into the LLMs, and learn how to maximize the impact of this cutting-edge technology in their organizations. By the end of the session, attendees will have a deep understanding of the capabilities of Dolly 2.0, and will be equipped with…
Description from YouTube. Full content on the video page.
More from Databricks
ReleasesDatabricks launches across the Data + AI stack in 90 seconds
Databricks announced LTAP to unify lakebased and lakehouse data, eliminating ETL and enabling a single copy of data for analytical and operational needs. They also introduced Unity AI Gateway for governance, Genie Ontology for enterprise knowledge graphs, and open-sourced Omniant for managing multiple coding agents.
ReleasesIntroducing Omnigent: The Ultimate Meta-Harness for AI Agents
Omnigent is a new open-source meta-harness for AI agents that provides a unified interface for composition, control, and collaboration across multiple models and agent workflows. It enables stateful, data-centric policies for guardrails and allows real-time sharing and steering of live agent sessions with teammates.
NewsHow DEFRA and Natural England Accelerate Peatland Restoration with AI and Databricks
DEFRA and Natural England utilize AI and Databricks to accelerate peatland restoration by automating the mapping of peatland features and peat dams across England. This technology significantly reduces the time required for mapping, enabling faster identification and restoration of these crucial carbon-storing habitats.
NewsAI Stack Explained in 3 Layers (LLM, Agent Harness, Omnigent)
The AI stack now includes a third layer, the meta harness, which sits above individual agent harnesses. This meta harness, exemplified by Databricks' open-sourced Omnigent, allows for routing queries to appropriate agents and orchestrating tasks across multiple agents, enabling seamless interaction and context sharing between them.
NewsWhat’s coming next to Free Edition
Databricks announces the availability of Genie, GPUs, Agent Hooks, Lakehouse, and Lake Flow Designer on its Free Edition. This update provides virtually all of Databricks' production platform features for free, enabling users to learn and build data and AI projects.
