Skip to content

zetabyte

A Step-by-Step Coding Guide to Building a Gemini-Powered AI Startup Pitch Generator Using LiteLLM Framework, Gradio, and FPDF in Google Colab with PDF Export Support Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In this tutorial, we built a powerful and interactive AI application that generates startup pitch ideas using Google’s Gemini Pro model through the versatile LiteLLM framework. LiteLLM is the backbone of this implementation, providing a unified interface to interact with over 100 LLM providers… Read More »A Step-by-Step Coding Guide to Building a Gemini-Powered AI Startup Pitch Generator Using LiteLLM Framework, Gradio, and FPDF in Google Colab with PDF Export Support Asif Razzaq Artificial Intelligence Category – MarkTechPost

MMSearch-R1: End-to-End Reinforcement Learning for Active Image Search in LMMs Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Multimodal Models (LMMs) have demonstrated remarkable capabilities when trained on extensive visual-text paired data, advancing multimodal understanding tasks significantly. However, these models struggle with complex real-world knowledge, particularly long-tail information that emerges after training cutoffs or domain-specific knowledge restricted by privacy, copyright, or… Read More »MMSearch-R1: End-to-End Reinforcement Learning for Active Image Search in LMMs Mohammad Asjad Artificial Intelligence Category – MarkTechPost

Scalable and Principled Reward Modeling for LLMs: Enhancing Generalist Reward Models RMs with SPCT and Inference-Time Optimization Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Reinforcement Learning RL has become a widely used post-training method for LLMs, enhancing capabilities like human alignment, long-term reasoning, and adaptability. A major challenge, however, is generating accurate reward signals in broad, less structured domains, as current high-quality reward models are largely built on… Read More »Scalable and Principled Reward Modeling for LLMs: Enhancing Generalist Reward Models RMs with SPCT and Inference-Time Optimization Sana Hassan Artificial Intelligence Category – MarkTechPost

Apple Workshop on Natural Language Understanding 2024 Apple Machine Learning Research

​Progress in natural language processing enables more intuitive ways of interacting with technology. For example, many of Apple’s products and services, including Siri and search, use natural language understanding and generation to enable a fluent and seamless interface experience for users. Natural language is a… Read More »Apple Workshop on Natural Language Understanding 2024 Apple Machine Learning Research

Transformer Meets Diffusion: How the Transfusion Architecture Empowers GPT-4o’s Creativity Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” OpenAI’s GPT-4o represents a new milestone in multimodal AI: a single model capable of generating fluent text and high-quality images in the same output sequence. Unlike previous systems (e.g., ChatGPT) that had to invoke an external image generator like DALL-E, GPT-4o produces images natively… Read More »Transformer Meets Diffusion: How the Transfusion Architecture Empowers GPT-4o’s Creativity Asif Razzaq Artificial Intelligence Category – MarkTechPost

This AI Paper from Anthropic Introduces Attribution Graphs: A New Interpretability Method to Trace Internal Reasoning in Claude 3.5 Haiku Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” While the outputs of large language models (LLMs) appear coherent and useful, the underlying mechanisms guiding these behaviors remain largely unknown. As these models are increasingly deployed in sensitive and high-stakes environments, it has become crucial to understand what they do and how they… Read More »This AI Paper from Anthropic Introduces Attribution Graphs: A New Interpretability Method to Trace Internal Reasoning in Claude 3.5 Haiku Nikhil Artificial Intelligence Category – MarkTechPost

Anthropic’s Evaluation of Chain-of-Thought Faithfulness: Investigating Hidden Reasoning, Reward Hacks, and the Limitations of Verbal AI Transparency in Reasoning Models Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” A key advancement in AI capabilities is the development and use of chain-of-thought (CoT) reasoning, where models explain their steps before reaching an answer. This structured intermediate reasoning is not just a performance tool; it’s also expected to enhance interpretability. If models explain their… Read More »Anthropic’s Evaluation of Chain-of-Thought Faithfulness: Investigating Hidden Reasoning, Reward Hacks, and the Limitations of Verbal AI Transparency in Reasoning Models Mohammad Asjad Artificial Intelligence Category – MarkTechPost