LogLLM: Leveraging Large Language Models for Improved Log-Based Anomaly Detection
Log-based anomaly detection has become essential to improve software system reliability by identifying problems from log data. However, traditional deep ...
Tag: Large
Duo-LLM: A Framework for Studying Adaptive Computing in Large Language Models
This paper was accepted into the Efficient Natural Speech and Language Processing (ENLSP) Workshop at NeurIPS 2024. Large language models ...
Recurrent editor for fast speculative decoding on large language models
Introducing Recurrent Drafter (ReDrafter), an advanced speculative decoding approach that achieves state-of-the-art acceleration for large language model (LLM) inference. The ...
Why AI language models remain vulnerable: Key insights from Kili Technology's report on large language model vulnerabilities
Kili technology recently published a detailed report report highlighting significant vulnerabilities in ai language modelsfocusing on their susceptibility to pattern-based ...
How modular bricks are revolutionizing the efficiency of large language models
Large language models (LLMs) have revolutionized natural language processing by offering sophisticated capabilities for a variety of applications. However, these ...
Salesforce AI Research Introduces LaTRO: A Self-Rewarding Framework for Improving Reasoning Capabilities in Large Language Models
Large language models (LLMs), useful for answering questions and generating content, are now being trained to handle tasks that require ...
Snowflake and CMU researchers present SuffixDecoding: a new model-free approach to accelerate large language model (LLM) inference using speculative decoding
Large Language Models (LLM) have quickly become a critical component of today's consumer and enterprise applications. However, the need for ...
Intelligent scaling: Accelerating pre-training of large language models with small model initialization
This paper was accepted into the Efficient Natural Speech and Language Processing (ENLSP) Workshop at NeurIPS 2024. The pre-training phase ...
A Guide to 400+ Categorized Large Language Model Datasets
You can find useful datasets on countless platforms—Kaggle, Paperwithcode, GitHub, and more. But what if I tell you there’s a ...
A Deep Dive into Small Language Models: Efficient Alternatives to Large Language Models for Real-Time Processing and Specialized Tasks
ai has made significant progress in developing large language models (LLMs) that excel at complex tasks such as text generation, ...
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