LLMLean, an AI Tool for Using LLMs to Suggest Proof Steps and Complete Proofs in Lean
Working with proof assistants like Lean can be a challenging task, especially for those who are new to the system.
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Author: Aditya Toshniwal
OpenAI Announces SearchGPT, its AI-powered Search Engine to Rival Google
OpenAI has recently launched SearchGPT, a radical AI-driven search engine that aims at breaking Google’s long-standing hegemony. This innovative tool
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AlphaProof and AlphaGeometry 2: AI Achieves Silver-Medal Level in Solving International Mathematical Olympiad Problems
AlphaProof and AlphaGeometry 2, AI systems developed by Google DeepMind, have reached an important milestone in performing complex math problems
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BOND: A Groundbreaking Advancement in Reinforcement Learning from Human Feedback
In ensuring safety and quality of training language models, Reinforcement Learning from Human Feedback (RLHF) plays a crucial role. Recently,
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Investigating the Influence of ChatGPT’s AI Capabilities and Human-like Traits on Enhancing Knowledge and User Satisfaction in Workplace Environments
We have witnessed shifts in our engagement with machines, thanks to developments in chatbot technology. Such advanced conversational agents employ
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OpenAI’s GPT-4o Mini: The Future of Cost-Effective AI
OpenAI’s latest innovation, GPT-4o Mini, is setting new standards for AI performance and affordability. Designed for a wide range of
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Groq Unveils Llama-3-Groq-70B-Tool-Use and Llama-3-Groq-8B-Tool-Use: Open-Source Models Dominating Berkeley Function Calling Leaderboard Achieving Over 90% Accuracy
Significant advances have been made in Artificial Intelligence (AI) and machine learning (ML), which has resulted in the development of
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BIGVGAN: NVIDIA’s Breakthrough in Universal Neural Vocoding for High-Fidelity Audio Synthesis
BIGVGAN represents a significant advancement in the field of neural vocoding, leveraging generative adversarial networks (GANs) to synthesize high-fidelity audio.
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COCOM: How Context Embeddings in RAG Supercharge Answer Generation Efficiency
Understanding RAG: Enhancing LLMs with External Knowledge Retrieval-Augmented Generation (RAG) significantly improves the performance of Large Language Models (LLMs) by
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Arena Learning: Building a Data Flywheel for Large Language Models
Large Language Models (LLMs) are the foundation of progress in natural language processing (NLP) within the constantly changing world of
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