Large Language Model

Researchers from MIT and Microsoft Introduce DoLa: A Novel AI Decoding Strategy Aimed at Reducing Hallucinations in LLMs

Numerous natural language processing (NLP) applications have benefited greatly from using large language models (LLMs). While LLMs have improved in performance and gained additional...

Researchers at Heriot-Watt University and Alana AI Propose FurChat: A New Embodied Conversational Agent Based on Large Language Models

Large Language Models(LLMs) have taken center stage in a world where technology is making leaps and bounds. These LLMs are incredibly sophisticated computer programs...

Meet NExT-GPT: An End-to-End General-Purpose Any-to-Any Multimodal Large Language Models (MM-LLMs)

Multimodal LLMs can enhance human-computer interaction by enabling more natural and intuitive communication between users and AI systems through voice, text, and visual inputs....

This Paper by Alibaba Group Introduces FederatedScope-LLM: A Comprehensive Package for Fine-Tuning LLMs in Federated Learning

Today, platforms like Hugging Face have made it easier for a wide range of users, from AI researchers to those with limited machine learning...

Google AI Researchers Introduce MADLAD-400: A 2.8T Token Web-Domain Dataset that Covers 419 Languages

In the ever-evolving field of Natural Language Processing (NLP), the development of machine translation and language models has been primarily driven by the availability...

Meet FLM-101B: An Open-Source Decoder-Only LLM With 101 Billion Parameters

Lately, Large language models (LLMs) are excelling in NLP and multimodal tasks but are facing two significant challenges: high computational costs and difficulties in...

Meet TensorRT-LLM: An Open-Source Library that Accelerates and Optimizes Inference Performance on the Latest LLMs on NVIDIA Tensor Core GPUs

Artificial intelligence (AI) large language models (LLMs) can generate text, translate languages, write various forms of creative material, and provide helpful answers to your...

Can Large Language Models Really Do Math? This Artificial Intelligence AI Research Introduce MathGLM: A Robust Model To Solve Mathematical Problems Without a Calculator

When it comes to downstream natural language processing (NLP) tasks, large language models (LLMs) have proven to be exceptionally effective. To generate coherent and...

Enhancing GPT-4 Summarization Through Chain of Density Prompts

Large Language Models have gained a lot of attention in recent times due to their excellent capabilities. LLMs are capable of everything from question...

Google DeepMind Researchers Propose Optimization by PROmpting (OPRO): Large Language Models as Optimizers

With the constant advancements in the field of Artificial Intelligence, its subfields, including Natural Language Processing, Natural Language Generation, Natural Language Understanding, and Computer...

Google Researchers Propose MEMORY-VQ: A New AI Approach to Reduce Storage Requirements of Memory-Augmented Models without Sacrificing Performance

Recent research in language models has emphasized the importance of retrieval augmentation for enhancing factual knowledge. Retrieval augmentation involves providing these models with relevant...

Meet T2I-Adapter-SDXL: Small and Efficient Control Models

T2I-Adapters are plug-and-play tools that enhance text-to-image models without requiring full retraining, making them more efficient than alternatives like ControlNet. They align internal knowledge...

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