Large Language Model
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QoQ and QServe: A New Frontier in Model Quantization Transforming Large Language Model Deployment
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Quantization, a method integral to computational linguistics, is essential for managing the vast computational demands of deploying large ...

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DLAP: A Deep Learning Augmented LLMs Prompting Framework for Software Vulnerability Detection
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Software vulnerability detection is a critical field focused on safeguarding system security and user privacy by identifying security flaws in ...

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Predibase Researchers Present a Technical Report of 310 Fine-tuned LLMs that Rival GPT-4
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The natural language processing (NLP) field is continuously evolving, with large language models (LLMs) becoming integral to many ...

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Vercel acquires ModelFusion, launches AI SDK 3.1 for enterprise AI development
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Vercel acquires ModelFusion.dev and launches AI SDK 3.1, offering a comprehensive framework for enterprise AI development with TypeScript.Read More

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OpenBezoar: A Family of Small, Cost-Effective, and Open-Source AI Models Trained on Mixed Instruction Data
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The recent success of instruction fine-tuning of pre-trained Large Language Models (LLMs) for downstream tasks has attracted significant ...

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Meet Zamba-7B: Zyphra’s Novel AI Model That’s Small in Size and Big on Performance
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In the race to create more efficient and powerful AI models, Zyphra has unveiled a significant breakthrough with its new Zamba-7B model. This ...

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Cohere AI Unveils Rerank 3: A Cutting-Edge Foundation Model Designed to Optimize Enterprise Search and RAG (Retrieval Augmented Generation) Systems
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Cohere, an emerging leader in the field of artificial intelligence, has announced the release of Rerank 3, its latest foundation model ...

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CodeEditorBench: A Machine Learning System for Evaluating the Effectiveness of Large Language Models (LLMs) in Code Editing Activities
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Coding-related jobs have led to the rapid advancement of Large Language Models (LLMs), with a focus on code editing. LLMs created specifically ...

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CodeEditorBench: A Machine Learning System for Evaluating the Effectiveness of Large Language Models (LLMs) in Code Editing Activities
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Coding-related jobs have led to the rapid advancement of Large Language Models (LLMs), with a focus on code editing. LLMs created specifically ...

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Microsoft Researchers Propose Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models
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Large language models (LLMs) excel in language comprehension and reasoning tasks but lack spatial reasoning exploration, a vital aspect of ...

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LlamaIndex vs LangChain: A Comparison of Artificial Intelligence (AI) Frameworks
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In the rapidly evolving landscape of AI frameworks, two prominent players have emerged: LlamaIndex and LangChain. Both offer unique approaches ...

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Meet Sailor: A Family of Open Language Models Ranging from 0.5B to 7B Parameters for Southeast Asian (SEA) Languages
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Large Language Models (LLM) have immense capabilities that have advanced remarkably in the last few years. Two primary causes of this increase ...

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