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.

Artificial Intelligence 95

Artificial Intelligence Artificial Intelligence LLM AI Researcher 95

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 119

Machine Learning AI Researcher AI Research Large Language Models 119

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.

LLM 95

LLM AI Researcher AI Research Large Language Models 95

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 126

LLM Automation Insight Engine Data Analysis 126

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 122

Large Language Models Machine Learning LLM AI Researcher 122

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 135

Large Language Models AI Researcher AI Research LLM 135

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 129

LLM Large Language Models Algorithm AI Researcher 129

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).

LLM 95

LLM AI Researcher AI Research Prompt Engineer 95

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 133

Artificial Intelligence Artificial Intelligence ML Machine Learning 133

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 141

Machine Learning LLM Large Language Models Algorithm 141

Unite.AI

FEBRUARY 7, 2024

Machine learning (ML) is a powerful technology that can solve complex problems and deliver customer value. However, ML models are challenging to develop and deploy. This is why Machine Learning Operations (MLOps) has emerged as a paradigm to offer scalable and measurable values to Artificial Intelligence (AI) driven businesses.

Machine Learning 294

Machine Learning Large Language Models LLM BERT 294

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 117

Large Language Models LLM Machine Learning Artificial Intelligence 117

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 104

LLM AI Researcher AI Research Large Language Models 104

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 119

AI Researcher AI Research LLM Large Language Models 119

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 104

Machine Learning AI Researcher AI Research Convolutional Neural Networks 104

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 137

Artificial Intelligence Artificial Intelligence AI Researcher AI Research 137

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 121

LLM Large Language Models NLP AI Researcher 121

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.

Large Language Models 106

Large Language Models Explainability AI Researcher AI Research 106

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. All Credit For This Research Goes To the Researchers on This Project.

AI Researcher 126

AI Researcher AI Research Large Language Models LLM 126

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 125

AI Researcher AI Research LLM AI 125

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 131

LLM Large Language Models Artificial Intelligence Artificial Intelligence 131

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.

LLM 99

LLM Machine Learning Natural Language Processing Large Language Models 99

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 125

Machine Learning LLM Large Language Models Chatbots 125

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 129

Large Language Models Artificial Intelligence Artificial Intelligence LLM 129

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.

LLM 95

LLM Large Language Models AI Researcher AI Research 95

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 139

Large Language Models AI Researcher AI Research Neural Network 139

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. All credit for this research goes to the researchers of this project.

LLM 108

LLM Machine Learning Natural Language Processing Large Language Models 108

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 120

AI Researcher AI Research Natural Language Processing Large Language Models 120

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 120

Machine Learning AI Researcher AI Research Natural Language Processing 120

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.

Large Language Models 99

Large Language Models LLM Algorithm Natural Language Processing 99

Marktechpost

DECEMBER 20, 2023

Researchers from Apple have developed an innovative method to run large language models (LLMs) efficiently on devices with limited DRAM capacity, addressing the challenges posed by intensive computational and memory requirements. All credit for this research goes to the researchers of this project.

Large Language Models 100

Large Language Models AI Researcher AI Research LLM 100

Marktechpost

NOVEMBER 28, 2023

Despite the emphasis on complex tasks, researchers argue that difficulty levels for humans do not necessarily challenge LLMs. It is a General AI Assistant that focuses on real-world questions, avoiding LLM evaluation pitfalls. With human-crafted questions that reflect AI assistant use cases, GAIA ensures practicality.

AI Researcher 118

AI Researcher AI Research NLP AI 118

Marktechpost

APRIL 19, 2024

Since LLMs have proven themselves to be quite effective in compressing data, language modeling might be thought of as a type of compression. For the present LLM-based AI paradigm, this makes the case that compression leads to intelligence all the more compelling. If you like our work, you will love our newsletter.

AI Researcher 101

AI Researcher AI Research AI AI 101

Marktechpost

DECEMBER 14, 2023

Researchers emphasize that DeciLM-7B and Infery-LLM have applications that have the potential to bring about revolutionary changes in several industries. These two usher in an era of smarter, more responsive, affordable, and scalable artificial intelligence (AI) solutions. The model incorporates variable-grouped query attention.

Large Language Models 127

Large Language Models LLM Artificial Intelligence Artificial Intelligence 127

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.

LLM 93

LLM Large Language Models OpenAI ChatGPT 93

Marktechpost

DECEMBER 12, 2023

Integrating LLMs into development environments can offer real-time assistance to developers, guiding them on function calls, parameter types, or potential errors. Researchers at Nexusflow propose an open-source LLM model, NexusRaven-V2. All credit for this research goes to the researchers of this project.

LLM 129

LLM OpenAI AI Researcher AI Research 129

Marktechpost

FEBRUARY 11, 2024

Researchers from Shanghai Jiao Tong University, Carnegie Mellon University, Shanghai Artificial Intelligence Laboratory, and Generative AI Research Lab (GAIR) introduce SCALEEVAL , a meta-evaluation framework utilizing multiple communicative LLM agents with an agent-debate approach. Check out the Paper and Github.

Large Language Models 107

Large Language Models LLM Artificial Intelligence Artificial Intelligence 107