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A comparative investigation of LoRA and Full Finetuning in large language models was carried out by researchers associated with Columbia University and Databricks.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedMay 19, 202439Views0Likes0Comments
Researchers from Columbia University and Databricks Mosaic AI have conducted a comparative study of full finetuning and Low-Rank Adaptation (LoRA), a parameter-efficient finetuning method, in large language models (LLMs). The efficient finetuning of LLMs, which can contain billions of parameters, is an ongoing challenge due to the substantial GPU memory required. This makes the process…

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This Artificial Intelligence research article from Stanford University assesses the effectiveness of multi-modal foundational models as they scale from limited-shot to extensive in-context learning (ICL).

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedMay 19, 202433Views0Likes0Comments
Recent research suggests that incorporating demonstrating examples, or in-context learning (ICL), significantly enhances large language models' (LLM's) and large multimodal models' (LMM's) performance. Studies have shown improvements in LLM performance with increased in-context examples, particularly in out-of-domain tasks. These findings are driven by newer models such as GPT-4o and Gemini 1.5 Pro, which include longer…

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Investigating the Concept of Data Mapping as a Query Challenge

Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedMay 19, 202433Views0Likes0Comments
Data mapping, which involves linking fields from one database to another, is a crucial part of data management, particularly in transforming and integrating data from varying sources into a cohesive format. An innovative perspective on this process frames it as a search problem. The efficacy of viewing data mapping as a search problem provides useful…

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Explorer Model: An Effective Diagram Display Instrument which Aids in Comprehending, Rectifying, and Enhancing Machine Learning Models

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedMay 19, 202433Views0Likes0Comments
Machine learning (ML) has become a fundamental part of several industries worldwide due to its wide range of applications. However, understanding and interpreting complex ML models continues to be a challenge. These models, often comprising multiple layers and intricate connections, require precise graph visualization tools to understand how data travels across the model and how…

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Explorer Model: An Efficient Graph Visualization Instrument that Assists in Comprehending, Troubleshooting, and Enhancing Machine Learning Models

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedMay 19, 202427Views0Likes0Comments
Machine Learning (ML) models are increasingly becoming an integral part of various sectors globally, with their extensive applications and growing reliance on their capabilities. As these models grow in complexity, understanding and interpreting them becomes more challenging. Visualizing how data flows through the model and how the different parts interact is crucial to debug and…

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Comparing GPT-4 and GPT-4o: An Overview of Major Changes and Comparative Study

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 19, 202436Views0Likes0Comments
The world of artificial intelligence (AI) and machine learning continues to evolve at a rapid pace, with OpenAI leading the charge. Their latest development is the introduction of GPT-4o, an optimized version of the widely used GPT-4, part of the Generative Pre-trained Transformer model series renowned for its natural language processing capabilities. GPT-4 boasts enhanced contextual…

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01.AI has launched its improved model, Yi-1.5-34B, a more advanced version of the original Yi. It boasts a high-quality corpus with 500 billion tokens and has been meticulously adjusted using 3 million diverse fine-tuning samples.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 19, 202435Views0Likes0Comments
The world of Artificial Intelligence (AI) has taken another step forward with the introduction of the recent Yi-1.5-34B model by 01.AI. This model is considered a significant upgrade over prior versions, providing a bridge between the capabilities of the Llama 3 8B and the 70B models. The distinguishing features of the Yi-1.5-34B include improvements in multimodal…

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SpeechVerse: An AI Framework Built with Multiple Modes allowing LLMs to Comprehend and Carry Out a Wide Range of Speech-processing Tasks via Natural Language Commands.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 18, 202434Views0Likes0Comments
Large language models (LLMs) have been successful in areas like natural language tasks and following instructions, yet they have limitations when dealing with non-textual data such as images and audio. But presently, an approach integrating textual LLMs with speech encoders in one training setup could revolutionize this. One option is multimodal audio-language models, proving advantageous…

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This study by Google’s DeepMind examines the disparity in performance between online and offline techniques for aligning AI.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Machine learning, Staff, Tech News, Technology, UncategorizedMay 18, 202435Views0Likes0Comments
The standard method for aligning Language Learning Models (LLMs) is known as RLHF, or Reinforcement Learning from Human Feedback. However, new developments in offline alignment methods - such as Direct Preference Optimization (DPO) - challenge RLHF's reliance on on-policy sampling. Unlike online methods, offline algorithms use existing datasets, making them simpler, cheaper, and often more…

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Cerebras & Neural Magic scientists have introduced Sparse Llama: the inaugural LLM production that operates on Llama and exhibits 70% sparsity.

AI Paper Summary, AI Shorts, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedMay 18, 202436Views0Likes0Comments
Natural Language Processing (NLP) is a revolutionary field that allows machines to understand, interpret, and generate human language. It is widely used in various sectors, including language translation, text summarization, sentiment analysis, and the creation of conversational agents. Large language models (LLMs), which have greatly improved these applications, require huge computational and energy demands for…

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Meta AI presents Chameleon: A novel range of preliminary fusion token-based foundational models that establish a fresh benchmark for multimodal machine learning.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 18, 202435Views0Likes0Comments
Recent multimodal foundation models are often limited in their ability to fuse various modalities, as they typically utilize distinct encoders or decoders for each modality. This structure limits their capability to effectively integrate varied content types and create multimodal documents with interwoven sequences of images and text. Meta researchers, in response to this limitation, have…

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Chasing the Platonic Ideals: AI’s Hunt for a Single Reality Paradigm

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedMay 18, 202441Views0Likes0Comments
Artificial Intelligence (AI) systems have demonstrated a fascinating trend of converging data representations across different architectures, training objectives, and modalities. Researchers propose the "Platonic Representation Hypothesis" to explain this phenomenon. Essentially, this hypothesizes that various AI models are striving to capture a unified representation of the underlying reality that forms the basis for observable data.…

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