Google’s Groundbreaking Non-Autoregressive, LM-Fused ASR System for Multilingual Speech Recognition
Speech recognition technology has come a long way, revolutionizing how humans interact with machines and enabling a wide range of
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LLMs
Meet ToolEmu: An Artificial Intelligence Framework for Testing Language Model Agents Against a Diverse Range of Tools and Scenarios
Artificial intelligence (AI) has made significant advancements in recent years, particularly in the field of language models (LMs). LMs have
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Tensoic AI Releases Kan-Llama: A 7B Llama-2 LoRA PreTrained and FineTuned on ‘Kannada’ Tokens
Tensoic AI, a Mumbai-based software company, has recently unveiled its latest breakthrough in natural language processing (NLP) and machine learning.
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FUSELLM: Pioneering the Fusion of Diverse Large Language Models for Enhanced Capabilities
Language models have revolutionized natural language processing tasks, enabling advancements in areas such as machine translation, text generation, and sentiment
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Google DeepMind Researchers Propose WARM: A Novel Approach to Tackle Reward Hacking in Large Language Models Using Weight-Averaged Reward Models
In recent years, Large Language Models (LLMs) have revolutionized the field of natural language processing by achieving remarkable performance in
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DiffusionGPT: LLM-Driven Text-to-Image Generation System
In recent years, there has been significant progress in the field of image generation, thanks to advancements in diffusion models.
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Mistral AI Introduces Mixtral 8x7B: A Sparse Mixture of Experts (SMoE) Language Model Transforming Machine Learning
Artificial Intelligence (AI) and Machine Learning (ML) have been making significant strides in recent years, revolutionizing various industries. One of
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Revolutionizing Question Answering With Google AI GRANOLA QA
In the field of natural language processing, large language models (LLMs) have made significant strides in providing accurate answers to
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Harnessing the Power of Abstract Syntax Trees (ASTs) to Revolutionize Code-Centric Language Models
The field of language models has witnessed remarkable advancements in recent years, with significant progress made in code generation and
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Reinforced Fine-Tuning (ReFT): Enhancing the Generalizability of Learning LLMs for Reasoning with Math Problem Solving
In the world of artificial intelligence (AI), researchers are constantly looking for ways to enhance the performance and generalizability of
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