Marktechpost

MARCH 22, 2025

Despite their potential, LLM-based agents struggle with multi-turn decision-making. FAIR at Meta and UC Berkeley researchers proposed a new reinforcement learning method called SWEET-RL (Step-WisE Evaluation from Training-time Information). The critic uses training-time information (e.g., It allowed Llama-3.1-8B

AI Research 101

AI Research AI Researcher Large Language Models AI 101

Unite.AI

JANUARY 6, 2025

But Google just flipped this story on its head with an approach so simple it makes you wonder why no one thought of it sooner: using smaller AI models as teachers. This is the novel method challenging our traditional approach to training LLMs. When Google researchers tested SALT using a 1.5 The results are compelling.

AI Development 184

AI Development AI Developer AI AI 184

Marktechpost

FEBRUARY 16, 2025

KV cache eviction strategies have been introduced to remove older tokens selectively, but they risk permanently discarding important contextual information. In conclusion, the research team successfully addressed the major bottlenecks of long-context inference with InfiniteHiP. Also, decoding throughput is increased by 3.2

LLM 82

LLM AI Research AI Researcher Large Language Models 82

Marktechpost

MARCH 5, 2025

Prior research has explored strategies to integrate LLMs into feature selection, including fine-tuning models on task descriptions and feature names, prompting-based selection methods, and direct filtering based on test scores. A task-specific LLM enhances predictions through prompt engineering and RAG.

Large Language Models 77

Large Language Models LLM Machine Learning Prompt Engineering 77

Marktechpost

MARCH 4, 2025

In this tutorial, we demonstrate how to build an AI-powered research assistant that can autonomously search the web and summarize articles using SmolAgents. This implementation highlights the power of AI agents in automating research tasks, making it easier to retrieve and process large amounts of information efficiently.

Automation 73

Automation AI Research AI Researcher LLM 73

Marktechpost

FEBRUARY 1, 2025

Agentic AI gains much value from the capacity to reason about complex environments and make informed decisions with minimal human input. Classical vs. Modern Approaches Classical Symbolic Reasoning Historically, AI researchers focused heavily on symbolic reasoning, where knowledge is encoded as rules or facts in a symbolic language.

LLM 101

LLM Robotics Neural Network Large Language Models 101

Unite.AI

FEBRUARY 19, 2025

It involves identifying and correcting inconsistencies, generating novel insights rather than just providing information, making decisions in ambiguous situations, and engaging in causal understanding and counterfactual thinking like What if? Reasoning is the process of deriving new conclusions from given premises using logic and inference.

Large Language Models 176

Large Language Models LLM Neural Network OpenAI 176

Flipboard

FEBRUARY 10, 2025

DeepSeek-R1 is an advanced LLM developed by the AI startup DeepSeek. For more information, refer to Deploy models for inference. Access to Hugging Face Hub You must have access to Hugging Face Hubs deepseek-ai/DeepSeek-R1-Distill-Llama-8B model weights from your environment.

LLM 160

LLM AI AI Python 160

Marktechpost

MARCH 24, 2024

These enhanced agents can now process information, interact with their environment, and execute multi-step actions, heralding a new era of task-solving capabilities. However, complexities are involved in developing and evaluating new reasoning strategies and agent architectures for LLM agents due to the intricacy of existing frameworks.

LLM 140

LLM AI Research AI Researcher Large Language Models 140

Marktechpost

FEBRUARY 23, 2025

In this tutorial, we will build an efficient Legal AI CHatbot using open-source tools. It provides a step-by-step guide to creating a chatbot using bigscience/T0pp LLM , Hugging Face Transformers, and PyTorch. ” is input, the chatbot provides a relevant AI-generated legal response.

NLP 81

NLP AI Chatbots Chatbots LLM 81

IBM Journey to AI blog

SEPTEMBER 27, 2023

Proprietary LLMs are owned by a company and can only be used by customers that purchase a license. The license may restrict how the LLM can be used. On the other hand, open source LLMs are free and available for anyone to access, use for any purpose, modify and distribute. What are the benefits of open source LLMs?

Large Language Models 289

Large Language Models LLM Explainability Chatbots 289

Marktechpost

OCTOBER 16, 2024

One major innovation is retrieval-augmented generation (RAG), which allows LLMs to retrieve relevant information from external sources, such as large knowledge databases, to generate better answers. However, the integration of long-context LLMs with RAG presents certain challenges.

LLM 107

LLM AI Research AI Researcher Inference Engine 107

Marktechpost

MARCH 20, 2025

Microsoft AI Research has recently developed Claimify, an advanced claim-extraction method based on LLMs, specifically designed to enhance accuracy, comprehensiveness, and context-awareness in extracting claims from LLM outputs. Claimify addresses the limitations of existing methods by explicitly dealing with ambiguity.

LLM 49

LLM Large Language Models Automation AI Research 49

Marktechpost

SEPTEMBER 6, 2023

GPT3, LaMDA, PALM, BLOOM, and LLaMA are just a few examples of large language models (LLMs) that have demonstrated their ability to store and apply vast amounts of information. A recent push has been to train LLMs to simultaneously process visual and linguistic data.

Large Language Models 136

Large Language Models LLM Metadata AI 136

ML @ CMU

SEPTEMBER 13, 2024

Introduction A central question in the discussion of large language models (LLMs) concerns the extent to which they memorize their training data versus how they generalize to new tasks and settings. If a certain phrase exists within the LLM training data (e.g., they have high ACR values).

LLM 129

LLM Neural Network OpenAI Large Language Models 129

Marktechpost

FEBRUARY 22, 2025

LLM-based multi-agent (LLM-MA) systems enable multiple language model agents to collaborate on complex tasks by dividing responsibilities. These issues limit the efficiency of LLM-MA systems in handling multi-step problems. All credit for this research goes to the researchers of this project.

LLM 52

LLM Robotics Machine Learning AI 52

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 Research AI Researcher 141

Unite.AI

MARCH 19, 2025

This insight has inspired AI researchers to develop models that operate on concepts instead of just words, leading to the creation of Large Concept Models (LCMs). LCMs are a new class of AI models that process information at the level of concepts, rather than individual words or tokens.

Large Language Models 100

Large Language Models Neural Network LLM AI Researcher 100

Marktechpost

MARCH 2, 2025

Current approaches to accelerate LLM inference fall into three main categories: Quantizing Model, Generating Fewer Tokens, and Reducing KV Cache. Merging-based strategies introduce anchor tokens that compress historically important information. The quantizing model involves both parameter and KV Cache quantization techniques.

LLM 52

LLM AI Researcher AI Research ML 52

Marktechpost

NOVEMBER 14, 2023

Fortunately, recent developments in large language models provide a promising solution to these problems since they are pre-trained on large corpora and include billions of parameters, naturally capturing substantial clinical information. This results in high infrastructure costs and lengthy inference times.

NLP 120

NLP LLM AI Modeling Large Language Models 120

Marktechpost

OCTOBER 11, 2024

Retrieval-augmented generation (RAG) has become a key technique in enhancing the capabilities of LLMs by incorporating external knowledge into their outputs. When RAG systems retrieve external data, there is always the risk of pulling in irrelevant, outdated, or malicious information.

AI Research 131

AI Research AI Researcher LLM AI 131

Unite.AI

FEBRUARY 7, 2024

In addition, LLMOps provides techniques to improve the data quality, diversity, and relevance and the data ethics, fairness, and accountability of LLMs. Moreover, LLMOps offers methods to enable the creation and deployment of complex and diverse LLM applications by guiding and enhancing LLM training and evaluation.

Machine Learning 288

Machine Learning Large Language Models LLM BERT 288

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 138

Machine Learning AI Research AI Researcher Large Language Models 138

Marktechpost

MARCH 18, 2025

This approach is valuable for building domain-specific assistants, customer support systems, or any application where grounding LLM responses in specific documents is important. The language model generates a response informed by both its parameters and the retrieved information Benefits of RAG include: 1. Let us get started.

Metadata 88

Metadata LLM Auto-complete Neural Network 88

AssemblyAI

MAY 3, 2023

Effective methods allowing for better control, or steerability , of large-scale AI systems are currently in extremely high demand in the world of AI research. The network's intermediate layers would process this information by applying a series of linear and non-linear operations. Et voilà !

Large Language Models 363

Large Language Models Neural Network LLM ChatGPT 363

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 126

Large Language Models AI Research AI Researcher NLP 126

Marktechpost

JULY 8, 2023

In contrast, as illustrated in Figure 1, distinct areas or items in the scene are often addressed in daily human conversation, and individuals can talk and point to specific regions for effective information sharing. An alignment layer, an LLM, and a vision encoder are all parts of the Shikra architecture.

LLM 111

LLM AI Research AI Researcher Large Language Models 111

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 117

LLM Large Language Models AI AI 117

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 134

Large Language Models Machine Learning LLM Artificial Intelligence 134

Marktechpost

MAY 25, 2024

Their exceptional effectiveness extends to a wide range of financial sector tasks, including sophisticated disclosure summarization, sentiment analysis, information extraction, report production, and compliance verification. Because LLMs are good at processing and producing language-based material, they perform well in textual domains.

AI Research 132

AI Research AI Researcher Large Language Models Machine Learning 132

Marktechpost

JANUARY 12, 2024

The framework represents a shift from solely relying on acoustic signals to incorporating the rich information embedded in speech content. It involves a post-processing step that enhances speaker attribution accuracy by interpreting the speech’s semantic and contextual nuances. If you like our work, you will love our newsletter.

Large Language Models 124

Large Language Models Machine Learning LLM AI Research 124

Towards AI

JANUARY 22, 2025

Setting the Stage: Why Augmentation Matters Imagine youre chatting with an LLM about complex topics like medical research or historical events. Despite its vast training, it occasionally hallucinates producing incorrect or fabricated information. Generates responses by synthesizing the retrieved information.

Neural Network 105

Neural Network Chatbots Large Language Models NLP 105

Unite.AI

JANUARY 24, 2025

One of the most pressing challenges in artificial intelligence (AI) innovation today is large language models (LLMs) isolation from real-time data. To tackle the issue, San Francisco-based AI research and safety company Anthropic, recently announced a unique development architecture to reshape how AI models interact with data.

Large Language Models 100

Large Language Models OpenAI AI AI 100

Marktechpost

MAY 16, 2024

One of their primary characteristics is their capacity to upgrade over time, adding fresh information and user feedback to improve performance and flexibility. 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.

AI Research 117

AI Research AI Researcher Large Language Models LLM 117

Marktechpost

NOVEMBER 14, 2023

The ambition of automatically converting informal mathematics into formally provable material is as old as standard mathematics itself. This is challenging because it requires expensive, highly qualified computer science and mathematics specialists to translate informal mathematical knowledge into a formal language manually.

Large Language Models 120

Large Language Models Neural Network LLM Automation 120

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 133

Large Language Models AI Research AI Researcher Categorization 133

Unite.AI

OCTOBER 9, 2023

Adding image analysis to large language models (LLMs) like GPT-4 is seen by some as a big step forward in AI research and development. This kind of multimodal LLM opens up new possibilities, taking language models beyond text to offer new interfaces and solve new kinds of tasks, creating fresh experiences for users.

ChatGPT 350

ChatGPT Large Language Models AI AI 350