Marktechpost

OCTOBER 26, 2024

Large Language Models (LLMs) have shown remarkable potential in solving complex real-world problems, from function calls to embodied planning and code generation. Don’t Forget to join our 55k+ ML SubReddit.

Large Language Models 115

Large Language Models LLM Inference Engine Algorithm 115

Marktechpost

OCTOBER 22, 2024

Despite recent advances in multimodal large language models (MLLMs), the development of these models has largely centered around English and Western-centric datasets. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 110

Large Language Models Data Scarcity Inference Engine LLM 110

Marktechpost

OCTOBER 18, 2024

Recent advancements in Large Language Models (LLMs) have reshaped the Artificial intelligence (AI)landscape, paving the way for the creation of Multimodal Large Language Models (MLLMs). Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 114

Large Language Models Inference Engine Natural Language Processing LLM 114

Marktechpost

OCTOBER 21, 2024

Accelerating inference in large language models (LLMs) is challenging due to their high computational and memory requirements, leading to significant financial and energy costs. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 116

Large Language Models Inference Engine AI AI 116

Marktechpost

OCTOBER 18, 2024

Large language models (LLMs) have revolutionized how machines process and generate human language, but their ability to reason effectively across diverse tasks remains a significant challenge. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 115

Large Language Models Inference Engine AI AI 115

Marktechpost

OCTOBER 22, 2024

In recent years, large language models (LLMs) have demonstrated significant progress in various applications, from text generation to question answering. However, one critical area of improvement is ensuring these models accurately follow specific instructions during tasks, such as adjusting format, tone, or content length.

Large Language Models 116

Large Language Models Neural Network Inference Engine AI 116

Marktechpost

OCTOBER 20, 2024

Large language models (LLMs) have revolutionized various domains, including code completion, where artificial intelligence predicts and suggests code based on a developer’s previous inputs. Despite the promise of LLMs, many models struggle with balancing speed and accuracy.

Large Language Models 116

Large Language Models Inference Engine Python Artificial Intelligence 116

Marktechpost

OCTOBER 17, 2024

One of the biggest hurdles organizations face is implementing Large Language Models (LLMs) to handle intricate workflows effectively. Issues of speed, flexibility, and scalability often hinder the automation of complex workflows requiring coordination across multiple systems. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 111

Large Language Models Inference Engine Automation Data Scientist 111

Marktechpost

OCTOBER 17, 2024

Large Language Models (LLMs) have demonstrated remarkable proficiency in In-Context Learning (ICL), which is a technique that teaches them to complete tasks using just a few examples included in the input prompt and no further training. If you like our work, you will love our newsletter.

Large Language Models 111

Large Language Models Inference Engine LLM ML 111

Marktechpost

OCTOBER 27, 2024

Large Language Models (LLMs) have lately demonstrated potential in expediting scientific discovery by generating research ideas due to their extensive text-processing capabilities. Don’t Forget to join our 55k+ ML SubReddit.

Large Language Models 108

Large Language Models LLM Inference Engine Automation 108

Marktechpost

OCTOBER 16, 2024

Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post This AI Paper from Meta AI Highlights the Risks of Using Synthetic Data to Train Large Language Models appeared first on MarkTechPost.

Large Language Models 110

Large Language Models Neural Network Machine Learning Inference Engine 110

Marktechpost

OCTOBER 19, 2024

Large Language models (LLMs) have long been trained to process vast amounts of data to generate responses that align with patterns seen during training. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 105

Large Language Models Inference Engine AI AI 105

Marktechpost

OCTOBER 25, 2024

Accurate assessment of Large Language Models is best done with complex tasks involving long input sequences. This article explains the latest research that systematically investigates positional biases in large language models. Relative position introduces a bias in LLMs, thus affecting their performance.

Large Language Models 64

Large Language Models Inference Engine Explainability LLM 64

Marktechpost

DECEMBER 23, 2023

Generative Large Language Models (LLMs) are well known for their remarkable performance in a variety of tasks, including complex Natural Language Processing (NLP), creative writing, question answering, and code generation. If you like our work, you will love our newsletter.

Large Language Models 140

Large Language Models Machine Learning LLM Inference Engine 140

Marktechpost

OCTOBER 15, 2024

Large Language Models (LLMs) need to be evaluated within the framework of embodied decision-making, i.e., the capacity to carry out activities in either digital or physical environments. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 59

Large Language Models Inference Engine LLM AI 59

Unite.AI

SEPTEMBER 24, 2024

Artificial Intelligence (AI) has moved from a futuristic idea to a powerful force changing industries worldwide. The growing value of AI is evident from its ability to handle large amounts of data, find hidden patterns, and produce insights that were once out of reach. First, performance improves noticeably.

Inference Engine 162

Inference Engine Large Language Models AI AI 162

Marktechpost

OCTOBER 14, 2024

The problem with efficiently linearizing large language models (LLMs) is multifaceted. Existing methods that try to linearize these models by replacing quadratic attention with subquadratic analogs face significant challenges: they often lead to degraded performance, incur high computational costs, and lack scalability.

LLM 122

LLM Large Language Models Inference Engine AI 122

Marktechpost

OCTOBER 21, 2024

Artificial intelligence is advancing rapidly, but enterprises face many obstacles when trying to leverage AI effectively. Organizations require models that are adaptable, secure, and capable of understanding domain-specific contexts while also maintaining compliance and privacy standards.

AI Modeling 119

AI Modeling Large Language Models Inference Engine Natural Language Processing 119

Marktechpost

OCTOBER 26, 2024

With large language models capable of handling complex game mechanics, character interactions, dynamic storytelling, and advanced visual models producing high-quality graphics based on prompts, we now have the tools to generate open-ended gameplay and evolving narratives. Don’t Forget to join our 55k+ ML SubReddit.

Generative AI 118

Generative AI AI Modeling Large Language Models Inference Engine 118

Marktechpost

OCTOBER 17, 2024

Artificial Intelligence is evolving significantly, and Large Language Models have shown a remarkable capacity to comprehend human-text inputs. Going beyond simple text to analyzing and generating code, LLMs have shown promising results in software development. If you like our work, you will love our newsletter.

Machine Learning 69

Machine Learning Software Development Inference Engine Large Language Models 69

Marktechpost

OCTOBER 20, 2024

Large language models (LLMs) have revolutionized the field of artificial intelligence by performing a wide range of tasks across different domains. These models are expected to work seamlessly in multiple languages, solving complex problems while ensuring safety.

AI Researcher 118

AI Researcher AI Research Inference Engine AI 118

Marktechpost

OCTOBER 19, 2024

Large language models (LLMs) like GPT-4, Gemini, and Llama 3 have revolutionized natural language processing through extensive pre-training and supervised fine-tuning (SFT). However, these models come with high computational costs for training and inference. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 115

Large Language Models Inference Engine Natural Language Processing LLM 115

Marktechpost

OCTOBER 22, 2024

Reinforcement learning (RL) has been pivotal in advancing artificial intelligence by enabling models to learn from their interactions with the environment. Traditionally, reinforcement learning relies on rewards for positive actions and penalties for negative ones. If you like our work, you will love our newsletter.

Inference Engine 118

Inference Engine Large Language Models LLM AI 118

Marktechpost

OCTOBER 16, 2024

Large language models (LLMs) have gained widespread adoption due to their advanced text understanding and generation capabilities. Third, the method operates in a black-box manner, requiring only access to the model’s textual output, making it practical for real-world applications.

Large Language Models 116

Large Language Models Inference Engine LLM Algorithm 116

Marktechpost

OCTOBER 19, 2024

Large language models (LLMs) have demonstrated consistent scaling laws, revealing a power-law relationship between pretraining performance and computational resources. This gap in understanding has limited the ability to optimize resource allocation and predict performance in diffusion transformer models.

Inference Engine 105

Inference Engine Large Language Models Artificial Intelligence Artificial Intelligence 105

Marktechpost

OCTOBER 18, 2024

Large language models (LLMs) have demonstrated significant reasoning capabilities, yet they face issues like hallucinations and the inability to conduct faithful reasoning. These challenges stem from knowledge gaps, leading to factual errors during complex tasks. If you like our work, you will love our newsletter.

LLM 115

LLM Inference Engine Large Language Models AI 115

Marktechpost

OCTOBER 17, 2024

There is a need for flexible and efficient adaptation of large language models (LLMs) to various tasks. Existing approaches, such as mixture-of-experts (MoE) and model arithmetic, struggle with requiring substantial tuning data, inflexible model composition, or strong assumptions about how models should be used.

LLM 115

LLM Algorithm AI Researcher AI Research 115

Marktechpost

OCTOBER 24, 2024

In PROVE, researchers use a high-fidelity scene graph representation constructed from hyper-detailed image captions and employ a large language model (LLM) to generate diverse question-answer (QA) pairs along with executable programs to verify each QA pair. This approach allows the creation of a benchmark dataset of 10.5k

AI Researcher 121

AI Researcher AI Research Inference Engine Large Language Models 121

Marktechpost

OCTOBER 17, 2024

This requirement has prompted researchers to find effective ways to integrate real-time data and contextual understanding into Large Language Models (LLMs), which have difficulty interpreting real-world tasks. If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

LLM 124

LLM Inference Engine Large Language Models Machine Learning 124

Marktechpost

OCTOBER 22, 2024

Retrieval-Augmented Generation (RAG) is a growing area of research focused on improving the capabilities of large language models (LLMs) by incorporating external knowledge sources. Combined with its progressive approach, the coarse-to-fine granularity of FunnelRAG reduces time overhead while maintaining retrieval performance.

Large Language Models 115

Large Language Models Inference Engine AI AI 115

Marktechpost

NOVEMBER 24, 2024

Also, the system incorporates a co-designed grammar and inference engine, enabling it to overlap grammar computations with GPU-based LLM operations, thereby minimizing overhead. Integration with LLM Frameworks: The system seamlessly integrates with popular LLM models, such as Llama 3.1,

Categorization 89

Categorization Large Language Models Inference Engine LLM 89

Marktechpost

OCTOBER 2, 2024

Large language models (LLMs) have advanced significantly in recent years. The need to make LLMs more accessible on smaller and resource-limited devices drives the development of more efficient frameworks for model inference and deployment.

LLM 69

LLM Python Large Language Models Inference Engine 69

Marktechpost

OCTOBER 28, 2024

Knowledge Graph (KG) synthesis is gaining traction in artificial intelligence research because it can construct structured knowledge representations from expansive, unstructured text data. These methods generally use zero-shot or few-shot prompt-based approaches to structure KGs, often involving extensive API calls and high costs.

LLM 109

LLM Inference Engine Large Language Models Artificial Intelligence 109

Marktechpost

OCTOBER 23, 2024

The advancement of artificial intelligence often reveals new ways for machines to augment human capabilities. Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post Anthropic AI Introduces a New Claude 3.5

Inference Engine 105

Inference Engine Natural Language Processing NLP AI 105

Marktechpost

OCTOBER 21, 2024

Large language models (LLMs) can understand and generate human-like text across various applications. In conclusion, the research presented through MIND introduces a transformative approach to improving the mathematical reasoning capabilities of large language models.

Large Language Models 115

Large Language Models Inference Engine AI AI 115

Marktechpost

OCTOBER 15, 2024

Large language models (LLMs) have become crucial in natural language processing, particularly for solving complex reasoning tasks. These models are designed to handle mathematical problem-solving, decision-making, and multi-step logical deductions. If you like our work, you will love our newsletter.

Machine Learning 119

Machine Learning LLM AI Researcher AI Research 119

Marktechpost

OCTOBER 16, 2024

The need for efficient and trustworthy techniques to assess the performance of Large Language Models (LLMs) is increasing as these models are incorporated into more and more domains. If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

Inference Engine 102

Inference Engine Large Language Models OpenAI AI 102