Optimizing LLM for Long Text Inputs and Chat Applications
Large Language Models (LLMs) have revolutionized characteristic dialect preparing (NLP), fueling applications extending from summarization and interpretation to conversational operators ...
Tag: Inputs
Structuring Inputs & Outputs in Multi Agent systems Using CrewAI
Features of PydanticDescriptionData validationVerifies that input data conforms to expected types (e.g., int, str, list) and can apply custom rules.Automatic ...
Google DeepMind Introduces Omni×R: A Comprehensive Evaluation Framework to Compare the Reasoning Capabilities of Omnimodal Language Models on Text, Audio, Image, and Video Inputs
Omnimodal language models (OLMs) are a rapidly advancing area of ai that enables understanding and reasoning across multiple types of ...
Idefics3-8B-Llama3 is released: an open multimodal model that accepts arbitrary sequences of image and text inputs and produces text outputs
Machine learning models that integrate text and images have become critical to improving capabilities in various applications. These multimodal models ...
Roku's idea of showing ads on your HDMI inputs seems like inevitable hell
In this week's edition of his low pass Newsletter, Janko Roettgers covered a Roku patent that seems to indicate the ...
Salesforce Research Proposes MoonShot: A New Video Generation AI Model That Simultaneously Conditions Multimodal Image and Text Inputs
artificial intelligence has always faced the problem of producing high-quality videos that seamlessly integrate multimodal inputs such as text and ...
Introduction to Streaming-LLM: LLM for Infinite Length Inputs
The large Language Model (LLM) has changed the way people work. With a model like the GPT family being widely ...
This AI research proposes SMPLer-X: a generalist basic model for 3D/4D human motion capture from monocular inputs
The animation, gaming, and fashion industries can benefit from the cutting-edge field of expressive human pose and shape estimation (EHPS) ...
IBM Researchers Propose a New Adversarial Attack Framework Capable of Generating Adversarial Inputs for AI Systems Regardless of the Modality or Task
In the ever-evolving landscape of artificial intelligence, a growing concern has emerged. The vulnerability of ai models to adversarial evasion ...
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