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Explore Gemini 1.5's capabilities with a 1 million token context window through demos on document querying, code writing, and multimodal processing of video and images.
Learn to annotate images using LLava 1.6 and Ollama. Explore file handling, image loading, API integration, and data management in this practical tutorial on building an image captioning application.
Explore Gemini 1.5 Pro's video analysis capabilities through a practical demonstration, showcasing its ability to summarize, extract information, and generate content from a 50-minute talk.
Explore LangGraph for building LLM agents: learn about StateGraph, nodes, edges, and practical implementations with code examples and tutorials.
Explore Ollama's new features: Python and JavaScript libraries, vision models, and OpenAI API compatibility. Hands-on demo showcases practical applications and integration possibilities.
Explore Moshi, an advanced AI conversational system. Discover its speech processing capabilities, real-time interactions, and unique components. Learn about its development, technology, and local setup process.
Explore OpenAI's o1 models: their reasoning capabilities, trade-offs, and performance in various tasks. Includes demos and pricing information for practical understanding.
Explore CrewAI's latest updates: enhanced planning, agent training, and advanced features for improved AI performance. Practical demo and code examples included.
Learn Character AI's Prompt Poet framework for efficient prompt assembly and injection. Explore its application in LLM chat formats and discover techniques for enhancing AI interactions.
Learn to convert AgentWrite to a LangGraph agent, exploring dataset generation, flow, prompts, and potential extensions for enhanced AI writing capabilities.
Explore LongWriter: an innovative model for generating extensive text in a single pass, with demos, paper insights, and practical applications using various LLMs.
Explore Microsoft's latest Phi 3.5 models, including Mini, MoE, and Vision variants. Learn about their capabilities, performance, and practical applications through demonstrations and code examples.
Explore techniques for generating structured JSON outputs with Gemini API, including image-based JSON extraction and Pydantic class integration for enhanced data handling.
Explore OpenAI's new feature for guaranteed structured JSON outputs in LLMs, with a demo and discussion on its applications, availability, and limitations.
Explore Meta's advanced CV model SAM 2, featuring unified architecture for image and video segmentation. Learn its capabilities through demos and code samples for enhanced visual understanding.
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