Marktechpost

OCTOBER 15, 2024

The key innovation in PAVs is using a “prover policy,” distinct from the base policy that the LLM is following. This enables the LLM to explore a wider range of potential solutions, even when early steps do not immediately lead to a correct solution. All credit for this research goes to the researchers of this project.

Machine Learning 117

Machine Learning LLM AI Researcher AI Research 117

Marktechpost

OCTOBER 17, 2024

Researchers from Google Cloud AI, Google DeepMind, and the University of Washington have proposed a new approach called MODEL SWARMS , which utilizes swarm intelligence to adapt LLMs through collaborative search in the weight space. Don’t Forget to join our 50k+ ML SubReddit.

LLM 112

LLM Algorithm AI Researcher AI Research 112

Marktechpost

SEPTEMBER 24, 2023

Their approach is straightforward, starting with a 7-billion-parameter Large Language Model (LLM) architecture sourced from LLaMa 2 [25] and initializing it from scratch. All Credit For This Research Goes To the Researchers on This Project. The post Large Language Models Surprise Meta AI Researchers at Compiler Optimization!

Large Language Models 139

Large Language Models AI Researcher AI Research LLM 139

Marktechpost

DECEMBER 19, 2024

Hugging Face Releases Picotron: A New Approach to LLM Training Hugging Face has introduced Picotron, a lightweight framework that offers a simpler way to handle LLM training. 405B, and bridging the gap between academic research and industrial-scale applications. Dont Forget to join our 60k+ ML SubReddit.

LLM 109

LLM Natural Language Processing Large Language Models AI Researcher 109

Marktechpost

MARCH 3, 2024

Researchers from the University of Potsdam, Qualcomm AI Research, and Amsterdam introduced a novel hybrid approach, combining LLMs with SLMs to optimize the efficiency of autoregressive decoding. This process begins with the LLM encoding the prompt into a comprehensive representation. speedup of LLM-to-SLM alone.

Machine Learning 131

Machine Learning AI Researcher AI Research Large Language Models 131

Marktechpost

JANUARY 30, 2024

Recent developments in Multi-Modal (MM) pre-training have helped enhance the capacity of Machine Learning (ML) models to handle and comprehend a variety of data types, including text, pictures, audio, and video. Integrating the LLM with other modal models in a way that allows them to cooperate well is one of the main problems with MM-LLMs.

Large Language Models 137

Large Language Models AI Researcher AI Research LLM 137

Marktechpost

JANUARY 12, 2024

Join our 36k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup. The post Google AI Researchers Introduce DiarizationLM: A Machine Learning Framework to Leverage Large Language Models (LLM) to Post-Process the Outputs from a Speaker Diarization System appeared first on MarkTechPost.

Large Language Models 127

Large Language Models Machine Learning LLM AI Researcher 127

ML @ CMU

SEPTEMBER 13, 2024

If a certain phrase exists within the LLM training data (e.g., is not itself generated text) and it can be reproduced with fewer input tokens than output tokens, then the phrase must be stored somehow within the weights of the LLM. We show that it appropriately ascribes many famous quotes as being memorized by existing LLMs (i.e.,

LLM 130

LLM Neural Network OpenAI Large Language Models 130

Marktechpost

SEPTEMBER 16, 2023

Recent studies show that handling an LLM request can be expensive, up to ten times higher than a traditional keyword search. So, there is a growing need to boost the throughput of LLM serving systems to minimize the per-request expenses. To further reduce memory utilization, the researchers have also deployed vLLM.

Machine Learning 143

Machine Learning LLM Large Language Models Algorithm 143

Marktechpost

APRIL 24, 2024

Researchers at J.P. Morgan AI Research have introduced FlowMind , a system employing LLMs, particularly Generative Pretrained Transformer (GPT), to automate workflows dynamically. In the workflow generation phase, the LLM applies this knowledge to generate and execute code based on user inputs dynamically.

Machine Learning 139

Machine Learning AI Researcher AI Research Large Language Models 139

Marktechpost

OCTOBER 7, 2023

In addressing the limitations of large language models (LLMs) when capturing less common knowledge and the high computational costs of extensive pre-training, Researchers from Meta introduce Retrieval-Augmented Dual Instruction Tuning (RA-DIT). Researchers introduced RA-DIT for endowing LLMs with retrieval capabilities.

Artificial Intelligence 141

Artificial Intelligence Artificial Intelligence AI Researcher AI Research 141

Marktechpost

OCTOBER 16, 2024

Specifically, while LLMs are becoming capable of handling longer input sequences, the increase in retrieved information can overwhelm the system. The challenge lies in making sure that the additional context improves the accuracy of the LLM’s outputs rather than confusing the model with irrelevant information.

LLM 100

LLM AI Researcher AI Research Inference Engine 100

Marktechpost

SEPTEMBER 14, 2023

Today, platforms like Hugging Face have made it easier for a wide range of users, from AI researchers to those with limited machine learning experience, to access and utilize pre-trained Large Language Models (LLMs) for different entities. All Credit For This Research Goes To the Researchers on This Project.

LLM 130

LLM Large Language Models Algorithm Machine Learning 130

Marktechpost

DECEMBER 24, 2023

Additionally, LLM hallucination is an infamous issue that causes LLMs to generate unreliable content. To tackle the shortcomings of existing models, researchers at Microsoft have released InsightPilot, a system that automates the process of data exploration using LLMs. If you like our work, you will love our newsletter.

LLM 133

LLM Automation Insight Engine Data Analysis 133

Marktechpost

NOVEMBER 23, 2023

LLM models have been increasingly deployed as potent linguistic agents capable of performing various programming-related activities. Standard code generation benchmarks test how well LLM can generate new code from scratch. Standard code generation benchmarks test how well LLM can generate new code from scratch.

Artificial Intelligence 135

Artificial Intelligence Artificial Intelligence ML Machine Learning 135

AWS Machine Learning Blog

MAY 9, 2024

The rapid advancements in artificial intelligence and machine learning (AI/ML) have made these technologies a transformative force across industries. According to a McKinsey study , across the financial services industry (FSI), generative AI is projected to deliver over $400 billion (5%) of industry revenue in productivity benefits.

ML 123

ML Generative AI AI AI 123

Marktechpost

MAY 16, 2024

However, it is impossible to foresee how modifications in the model would affect its output because of the opaque nature of the process and the impact of these updates on LLM behavior. The problem of LLM updates and their impacts makes it difficult to incorporate these models into intricate processes. Check out the Report.

AI Researcher 120

AI Researcher AI Research Large Language Models LLM 120

Marktechpost

SEPTEMBER 21, 2023

As a result, an urgent imperative emerges to create specialized LLMs that can effectively navigate and address the complexities within IT operations. Within the field of IT, the importance of NLP and LLM technologies is on the rise. This specialized LLM revolutionize the way IT operations are managed and understood.

Large Language Models 128

Large Language Models AI Researcher AI Research NLP 128

Marktechpost

DECEMBER 30, 2024

A team of researchers from The Chinese University of Hong Kong and Shenzhen Research Institute of Big Data introduce HuatuoGPT-o1: a medical LLM designed to enhance reasoning capabilities in the healthcare domain. This model outperforms general-purpose and domain-specific LLMs by following a two-stage learning process.

LLM 89

LLM Large Language Models Big Data Artificial Intelligence 89

Marktechpost

JANUARY 14, 2024

Patchscopes is a technique that extracts specific information from the hidden layers of an LLM and separates it into different inference processes. The framework can also decode specific attributes from LLM representations, particularly in early layers where other methods struggle. Also, don’t forget to follow us on Twitter.

Large Language Models 140

Large Language Models AI Researcher AI Research Neural Network 140

Marktechpost

SEPTEMBER 13, 2023

These costs limit LLM development to a few major players, restricting research and applications. To address this, the paper introduces a growth strategy to significantly reduce LLM training expenses, emphasizing the need for cost-effective training methods in the field. Check out the Paper and Code.

LLM 128

LLM Large Language Models NLP AI Researcher 128

Marktechpost

SEPTEMBER 1, 2024

Current methods for improving LLM reasoning capabilities include strategies such as knowledge distillation, where a smaller model learns from a larger model, and self-improvement, where models are trained on data they generate themselves. Significant improvements in LLM performance were observed across various benchmarks.

LLM 138

LLM AI Modeling Large Language Models AI 138

Marktechpost

MAY 25, 2024

These methods aim to improve LLMs’ reasoning capabilities by refining the consistency and accuracy of generated answers. Researchers from Fudan University, the National University of Singapore, and the Midea AI Research Center have introduced a hierarchical reasoning aggregation framework called AoR (Aggregation of Reasoning).

LLM 128

LLM Natural Language Processing Large Language Models AI Researcher 128

Marktechpost

DECEMBER 30, 2023

Therefore, a team of researchers from Imperial College London, Qualcomm AI Research, QUVA Lab, and the University of Amsterdam have introduced LLM Surgeon , a framework for unstructured, semi-structured, and structured LLM pruning that prunes the model in multiple steps, updating the weights and curvature estimates between each step.

Large Language Models 132

Large Language Models Machine Learning LLM Artificial Intelligence 132

Marktechpost

JULY 6, 2024

Large Language Models (LLMs) like ChatGPT and GPT-4 have made significant strides in AI research, outperforming previous state-of-the-art methods across various benchmarks. However, the integration of LLMs into biomedical and healthcare applications faces a critical challenge: their vulnerability to malicious manipulation.

LLM 119

LLM Large Language Models AI AI 119

Marktechpost

FEBRUARY 20, 2024

The research team from NVIDIA has introduced OpenMathInstruct-1, a novel dataset comprising 1.8 million problem-solution pairs to improve mathematical reasoning in LLMs. If the base LLM generated a solution that led to the correct answer, it was included in the finetuning dataset.

AI Researcher 130

AI Researcher AI Research LLM AI 130

Marktechpost

JANUARY 5, 2024

While Document AI (DocAI) has made significant strides in areas such as question answering, categorization, and extraction, real-world applications continue to face persistent hurdles related to accuracy, reliability, contextual understanding, and generalization to new domains. The team has summarized their primary contributions as follows.

Large Language Models 135

Large Language Models AI Researcher AI Research Categorization 135

Marktechpost

OCTOBER 11, 2024

This issue can lead to inconsistencies and incorrect outputs when the LLM attempts to merge its internal knowledge with flawed external content. For example, studies have shown that up to 70% of retrieved passages in real-world scenarios do not directly contain true answers, resulting in degraded performance of LLMs with RAG augmentation.

AI Researcher 132

AI Researcher AI Research LLM AI 132

Marktechpost

SEPTEMBER 17, 2023

Despite the success of current instruction tuning techniques, more is needed to create an LLM for broad multimodality instructions, such as text, picture, audio, 3D point clouds, and video. Figure 1 compares our multi-modality vs. visual instruction models ImageBind-LLM. Instructions with many modes.

Large Language Models 136

Large Language Models LLM Artificial Intelligence Artificial Intelligence 136

Marktechpost

MARCH 3, 2024

Empirical evidence from the research highlights the superiority of MobileLLM over existing models within the same parameter constraints. Demonstrating notable improvements in accuracy across a breadth of benchmarks, MobileLLM sets a new standard for on-device LLM deployment. If you like our work, you will love our newsletter.

Machine Learning 132

Machine Learning AI Researcher AI Research Natural Language Processing 132

Marktechpost

OCTOBER 13, 2023

In Large Language Models (LLMs), Partially-Binarized LLMs (PB-LLM) is a cutting-edge technique for achieving extreme low-bit quantization in LLMs without sacrificing language reasoning capabilities. PB-LLM strategically filters salient weights during binarization, reserving them for higher-bit storage.

Large Language Models 132

Large Language Models Artificial Intelligence Artificial Intelligence LLM 132

Marktechpost

MARCH 31, 2024

LITA does not depend on the underlying Image LLM architecture and can be easily adapted to other base architectures. T × M is a large number that usually cannot be directly processed by the LLM module. All the input tokens are then jointly processed by the LLM module sequentially. Also, don’t forget to follow us on Twitter.

AI Researcher 125

AI Researcher AI Research LLM Large Language Models 125

Marktechpost

JANUARY 19, 2024

Building on prior work like iGPT, they leverage vision transformers, extensive web data collections, and recent advancements in LLM pre-training. All credit for this research goes to the researchers of this project. Join our 36k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup.

AI Researcher 123

AI Researcher AI Research Natural Language Processing Large Language Models 123

Marktechpost

DECEMBER 23, 2023

In a recent study, a team of researchers presented PowerInfer, an effective LLM inference system designed for local deployments using a single consumer-grade GPU. All credit for this research goes to the researchers of this project. Check out the Paper and Github. If you like our work, you will love our newsletter.

Large Language Models 139

Large Language Models Machine Learning LLM Inference Engine 139

Marktechpost

DECEMBER 20, 2023

These workflows, called LLM agents, use external tools or APIs to carry out multi-step processes and accomplish a purpose. To address these challenges, a team of researchers from Google has suggested developing a ReAct-style LLM agent that can think and act in response to outside information.

LLM 134

LLM Large Language Models Artificial Intelligence Artificial Intelligence 134

Marktechpost

JULY 8, 2024

Some researchers have focused on mechanistic frameworks or pattern analysis through empirical results. The analysis investigates how the LLM’s geometry correlates with its reasoning capabilities, particularly examining the impact of increased input sequence length and number of attention heads.

Large Language Models 125

Large Language Models AI Researcher AI Research LLM 125

Marktechpost

DECEMBER 8, 2023

Many frameworks have attempted to use LLMs for task-oriented talks, including Langchain, Semantic Kernel, Transformers Agent, Agents, AutoGen, and JARVIS. Using these frameworks, users may communicate with LLM-powered bots by asking questions in plain language and getting answers. If you like our work, you will love our newsletter.

Machine Learning 130

Machine Learning LLM Large Language Models Chatbots 130