Vision Language Models: Leaderboards, Evaluation Benchmarks, and Learning

Показать описание

Dive into the fascinating world of Vision Language Models (VLMs) with me! In this video, I explore how these cutting-edge models blend the power of image and text to generate insightful text outputs. From Zero-Shot learning capabilities to handling diverse image types like documents and web pages, discover how VLMs are revolutionizing the way we interact with digital content.

📊 Don’t miss out on the Leaderboards and evaluation benchmarks that highlight the top performers in the field. Plus, I share some key learnings and insights into the model's inference process.

If you find this video helpful, please hit the Like button, drop a comment with your thoughts or questions, and subscribe for more updates on the latest in AI technology!

Join this channel to get access to perks:

To further support the channel, you can contribute via the following methods:

Bitcoin Address: 32zhmo5T9jvu8gJDGW3LTuKBM1KPMHoCsW

#llm #ai #generativeai

Рекомендации по теме

Комментарии

Hii I am working on Image generation with (How can i upscale the image from the base quality to 2048 x 2048) and Prioritize photorealism, steerability, processing time i did tried the LCM LORA tutorial experienced Very bad image generation

Aditya_khedekar

Can you do a video for finetuning VLM for web navigator AI agent use case

fintech

Vision Language Models: Leaderboards, Evaluation Benchmarks, and Learning

Vision Language Models: Leaderboards, Evaluation Benchmarks, and Learning

【S2E11】Learning from Language Models for Visual Intelligence

Llama 405b: Full 92 page Analysis, and Uncontaminated SIMPLE Benchmark Results

[1hr Talk] Intro to Large Language Models

Should You Use Open Source Large Language Models?

SmartGPT: Major Benchmark Broken - 89.0% on MMLU + Exam's Many Errors

Modeling and Evaluating Faithful Generation in Language (and Vision) by Mohit Bansal

TinyGPT-V: Small but Mighty Multimodal Large Language Model

Naman Jain - 'LiveCodeBench: Holistic and contamination free evaluation of LLMs for code'

LoRA - Low-rank Adaption of AI Large Language Models: LoRA and QLoRA Explained Simply

Deep Dive into LLM Evaluation with Weights & Biases

ColPali: Document Retrieval with Vision-Language Models only (with Manuel Faysse)

The Debate Over “Understanding” in AI’s Large Language Models

Computer Vision Meetup: Evaluating RAG Models for LLMs: Key Metrics and Frameworks

Yu Cheng: Towards data efficient vision-language (VL) models

Training & Fine-Tuning LLMs: Evaluation

Visual Riddles: a Commonsense and World Knowledge Challenge for Large Vision and Languag

ColPali: Indexing Documents in RAG made easy using Vision Language Models !!

LlamaIndex Webinar: ColPali - Efficient Document Retrieval with Vision Language Models

New benchmarks in vision-language models for real-world use: Google Research

Realistic Evaluation of Model Merging for Compositional Generalization

Pixtral 12b just broke the ankles of other multimodal models - Paper Review

[QA] Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models

Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models