Large Language Model

The exploration into refining the reasoning of large language models (LLMs) marks a significant stride in artificial intelligence research, spearheaded by a team from FAIR at Meta alongside collaborators from Georgia Institute of Technology and StabilityAI....
Large Language Models (LLMs) have extended their capabilities to different areas, including healthcare, finance, education, entertainment, etc. These models have utilized the power of Natural Language Processing (NLP), Natural Language Generation (NLG), and Computer Vision to...

Meet AnyGPT: Bridging Modalities in AI with a Unified Multimodal Language Model

Artificial intelligence has witnessed a remarkable shift towards integrating multimodality in large language models (LLMs), a development poised to revolutionize how machines understand and...

Brown University Researchers Propose LexC-Gen: A New Artificial Intelligence Method that Generates Low-Resource-Language Classification Task Data at Scale

Data scarcity in low-resource languages can be mitigated using word-to-word translations from high-resource languages. However, bilingual lexicons typically need more overlap with task data,...

Reka AI Releases Reka Flash: An Efficient and Capable State-of-the-Art 21B Multimodal Language Model

Reka addresses the need for advanced language and vision models with their state-of-the-art multimodal and multilingual language model, Reka Flash. It can perform excellently...

Meta AI Introduces TestGen-LLM for Automated Unit Test Improvement Using Large Language Models (LLMs)

In recent research, a team of researchers from Meta has presented TestGen-LLM, a unique tool that uses Large Language Models (LLMs) to improve pre-existing...

UC Berkeley Researchers Explore the Challenges of Subjective Queries in AI: Introducing the ConflictingQA Dataset for Enhanced Language Model Understanding

Researchers continually seek to enhance their capabilities, particularly in understanding and interpreting complex, subjective, and often conflicting information. This pursuit has led to the...

Meet FinTral: A Suite of State-of-the-Art Multimodal Large Language Models (LLMs) Built Upon the Mistral-7B Model Tailored for Financial Analysis

Financial documents are usually laden with complex numerical data and very specific terminology and jargon, which presents a challenge for existing Natural Language Processing...

Mistral AI Unveils Mistral Large and Its Application in Conversational AI

Language Models have been significant in recent years, developing more sophisticated and capable models. These models have a role to play in various applications,...

Gemma by Google DeepMind: Shattering Expectations in AI with State-of-the-Art Language Models!

Language models, the engines behind advancements in natural language processing, have increasingly become a focal point in AI research. These complex systems, capable of...

Beyond GPT-4: Dive into Fudan University’s LONG AGENT and Its Revolutionary Approach to Text Analysis!

In the rapidly evolving field of artificial intelligence, the "LONG AGENT" approach emerges as a groundbreaking solution to a longstanding challenge: efficiently processing and...

This AI Paper Unveils the Key to Extending Language Models to 128K Contexts with Continual Pretraining

Large language models can accomplish tasks that surpass current paradigms, such as reading code at the repository level, modeling long-history dialogs, and powering autonomous...

BABILong: Revolutionizing Long Document Processing through Recurrent Memory Augmentation in NLP Models

The quest to process lengthy documents with precision has been a formidable challenge. Generative transformer models have been at the forefront, dissecting and comprehending...

Improving LVLM Efficiency: ALLaVA’s Synthetic Dataset and Competitive Performance

Vision-language models in AI are designed to understand and process information from visual and textual inputs, simulating the human ability to perceive and interpret...

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