Marktechpost

JANUARY 19, 2024

Traditional approaches to LLM serving, while adept at training models effectively, falter during inference, especially in tasks like open-ended text generation. vLLM, powered by PagedAttention, and research systems like Orca have improved LLM inference performance. lower tail latency compared to vLLM. Check out the Paper.

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LLM AI Researcher AI Research Large Language Models 111

Marktechpost

OCTOBER 28, 2023

Character-LLM is a trainable agent designed to simulate specific individuals by editing profiles and training models as personal replicas, replicating their unique experiences. A team of researchers from China introduced the concept of training agents as character simulacra using Character-LLM.

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LLM AI Researcher AI Research Large Language Models 107

Marktechpost

OCTOBER 24, 2023

Within a Bayesian adaptive MDP paradigm, they formally describe how to reason and act with LLMs. Similarly, they instruct LLMs to learn a more accurate posterior distribution over the unknown environment by consulting the memory buffer and designing a series of actions that will maximize some value function. We are also on WhatsApp.

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Artificial Intelligence Artificial Intelligence LLM AI Researcher 98

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.

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Machine Learning AI Researcher AI Research Large Language Models 138

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

Towards AI

FEBRUARY 24, 2024

Increasing the size of LLMs has worked very well in the past because LLM performance is highly dependent on scale, which means three things: the number of model parameters, the size of the training dataset, and the amount of computation for training [1]. This is roughly a 10x to 100x increase in size for each new iteration of GPT.

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LLM Large Language Models AI Researcher AI Research 129

AI News

JUNE 28, 2023

Upon the completion of the transaction, the entire MosaicML team – including its renowned research team – is expected to join Databricks. MosaicML’s machine learning and neural networks experts are at the forefront of AI research, striving to enhance model training efficiency. appeared first on AI News.

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LLM Large Language Models Big Data Neural Network 189

Unite.AI

FEBRUARY 15, 2024

Ramprakash Ramamoorthy, is the Head of AI Research at ManageEngine , the enterprise IT management division of Zoho Corp. As the director of AI Research at Zoho & ManageEngine, what does your average workday look like? How did you initially get interested in computer science and machine learning ?

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AI Researcher AI Research Machine Learning AI 162

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.

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Marktechpost

JULY 20, 2023

A new study from the University of California, Santa Barbara, and Microsoft proposes the Directional Stimulus Prompting (DSP) architecture that enhances the frozen black-box LLM on downstream tasks using a tiny tuneable LM (RL). To help the LLM produce the required summary based on the keywords, keywords act as the stimulus (hints).

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LLM AI Researcher AI Research Prompt Engineer 98

Marktechpost

JANUARY 12, 2024

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. Join our 36k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup.

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Large Language Models Machine Learning LLM AI Researcher 124

Marktechpost

MARCH 17, 2024

Vectorview helps bring AI under control by offering a thorough evaluation procedure, ensuring that it works securely and productively for everyone. Subscribe to our AI Research Startup Newsletter Here.

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AI Researcher AI Research LLM Artificial Intelligence 56

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.

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Large Language Models LLM Machine Learning Artificial Intelligence 134

Topbots

APRIL 29, 2024

This paper, first published in December 2022, may not cover the most recent developments in LLM reasoning but still offers a comprehensive survey of available approaches. They also explore the potential future directions in the field, aiming to bridge the gap between LLM capabilities and human-like reasoning. Reasoning process.

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LLM Large Language Models Natural Language Processing AI Researcher 59

Marktechpost

JULY 8, 2023

Researchers from SenseTime Research, SKLSDE, Beihang University, and Shanghai Jiao Tong University developed Shikra, a unified model that can handle inputs and outputs of spatial coordinates, which is what they created. An alignment layer, an LLM, and a vision encoder are all parts of the Shikra architecture.

LLM 111

LLM AI Researcher AI Research Large Language Models 111

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. Check out the Paper and Code. If you like our work, you will love our newsletter.

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LLM Large Language Models Algorithm AI Researcher 128

databricks

DECEMBER 21, 2023

Over the past six months, we've been working with NVIDIA to get the most out of their new TensorRT-LLM library. TensorRT-LLM provides an easy-to-use Python interface to integrate with a web server for fast, efficient inference performance with LLMs.

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LLM Python AI Researcher AI Research 117

Marktechpost

JANUARY 30, 2024

Multimodal understanding and generation have been the subject of research, with examples of models such as Flamingo, BLIP-2, and Kosmos-1, which are capable of processing images, sounds, and even video in addition to text. It converts the LLM’s outputs into several modalities.

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Large Language Models AI Researcher AI Research LLM 136

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.

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LLM Machine Learning Large Language Models Algorithm 143

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.

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AI Researcher AI Research LLM Large Language Models 122

Marktechpost

APRIL 6, 2024

The market seeks a model that balances high performance with cost-effectiveness, a niche not fully met by current providers, including OSS models and companies like Fireworks, Anyscale, or Together AI, especially in complex interactions and parallel processing capabilities. LLM systems can be expensive to maintain.

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AI Researcher AI Research Large Language Models LLM 107

Marktechpost

JANUARY 5, 2024

In this research paper, researchers from UCLA have tried to empower a weak LLM to improve its performance without requiring additional human-annotated data. SPIN, however, is a more efficient approach that eliminates the need for human binary feedback and operates effectively with just one LLM. Check out the Paper.

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LLM Machine Learning Natural Language Processing Large Language Models 114

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.

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LLM Large Language Models NLP AI Researcher 126

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.

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Artificial Intelligence Artificial Intelligence AI Researcher AI Research 141

Marktechpost

JULY 7, 2023

Understanding the personality trait-related properties of the language created by these models is vital as LLMs become the dominant human-computer interaction (HCI) interface, as is learning how to safely, appropriately, and effectively engineer personality profiles generated by LLMs. Check out the Paper.

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Large Language Models Explainability AI Researcher AI Research 107

Marktechpost

DECEMBER 12, 2023

A team of researchers from Vector Institute, University of Waterloo, and Peking University introduced EAGLE (Extrapolation Algorithm for Greater Language-Model Efficiency) to combat the challenges inherent in LLM decoding. This collaboration predicts the next feature based on the second top layer’s current feature sequence.

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LLM Machine Learning Natural Language Processing Large Language Models 122

Marktechpost

AUGUST 12, 2023

Unfortunately, training LLMs is a resource-intensive operation requiring high-powered computers and a vast volume of data. gpt-llm-trainer is a program that facilitates LLM training on local machines. It employs the GPT-4 language model to train a unique LLM to produce a dataset of questions and answers.

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LLM Large Language Models AI Researcher AI Research 98

Allen AI

FEBRUARY 1, 2024

I’m enthusiastic about getting OLMo into the hands of AI researchers,” said Eric Horvitz, Microsoft’s Chief Scientific Officer and a founding member of the AI2 Scientific Advisory Board.

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LLM Large Language Models AI Researcher AI Research 76

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.

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AI Researcher AI Research LLM AI 128

Marktechpost

SEPTEMBER 8, 2023

With a joint embedding space, Point-Bind can be utilized for 3D cross-modal retrieval, any-to-3D generation, 3D zero-shot understanding, and developing a 3D large language model, Point-LLM. The overall pipeline of Point-LLM can be seen in the above image. If you like our work, you will love our newsletter.

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AI Researcher AI Research Large Language Models LLM 124

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.

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Machine Learning LLM Large Language Models Chatbots 128

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.

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LLM Large Language Models Artificial Intelligence Artificial Intelligence 132

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 11, 2023

Studies now investigate if building AI research agents with similar capabilities is possible. To evaluate AI research agents with free-form decision-making capabilities, researchers from Stanford University propose MLAgentBench, the first benchmark of its kind. Join our AI Channel on Whatsapp.

Machine Learning 103

Machine Learning AI Researcher AI Research Convolutional Neural Networks 103

Marktechpost

DECEMBER 7, 2023

Covering scaling laws, data utilization, architectural innovations, training strategies, and inference techniques, it outlines core LLM concepts and efficiency metrics. The review provides a thorough, up-to-date overview of methodologies contributing to efficient LLM development. Check out the Paper.

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Large Language Models LLM Algorithm Natural Language Processing 107

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.

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Large Language Models Artificial Intelligence Artificial Intelligence LLM 131

Marktechpost

AUGUST 3, 2023

However, the costs associated with LLM API calls might become significant when the application gains popularity and experiences increased traffic levels. When processing many queries, LLM services may also have lengthy wait periods. An open-source GPTCache program can make LLMs faster by caching their output answers.

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LLM Large Language Models OpenAI ChatGPT 98