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 107

Large Language Models Neural Network Machine Learning Inference Engine 107

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 57

Large Language Models Inference Engine AI AI 57

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 120

LLM Large Language Models Inference Engine AI 120

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 84

AI Modeling Large Language Models Inference Engine Natural Language Processing 84

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 67

Machine Learning Software Development Inference Engine Large Language Models 67

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 111

Large Language Models Inference Engine Natural Language Processing LLM 111

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 103

Inference Engine Large Language Models Artificial Intelligence Artificial Intelligence 103

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 109

LLM Inference Engine Large Language Models AI 109

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 113

Large Language Models Inference Engine LLM Algorithm 113

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 117

LLM Inference Engine Large Language Models Machine Learning 117

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 117

Machine Learning LLM AI Researcher AI Research 117

Marktechpost

OCTOBER 18, 2024

Current evaluation frameworks, such as LLM-as-a-Judge, which uses large language models to judge outputs from other AI systems, must account for the entire task-solving process. These models often overlook intermediate stages, crucial for agentic systems because they mimic human-like problem-solving strategies.

Large Language Models 109

Large Language Models LLM Inference Engine AI Developer 109

Marktechpost

OCTOBER 18, 2024

Large Language Models (LLMs) have gained significant traction in recent years, with fine-tuning pre-trained models for specific tasks becoming a common practice. However, this approach needs help in resource efficiency when deploying separate models for each task. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 62

Large Language Models Neural Network Inference Engine LLM 62

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 98

Inference Engine Large Language Models OpenAI AI 98

Marktechpost

OCTOBER 19, 2024

Long-context Large language models (LLMs) are designed to handle long input sequences, enabling them to process and understand large amounts of information. As the interference computation power is increased the large language models (LLMs) can perform diverse tasks.

Large Language Models 103

Large Language Models Inference Engine AI AI 103

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 67

LLM Python Large Language Models Inference Engine 67

Marktechpost

OCTOBER 17, 2024

In particular, the release targets bottlenecks experienced in transformer models and LLMs (Large Language Models), the ongoing need for GPU optimizations, and the efficiency of training and inference for both research and production settings. With the latest PyTorch 2.5 Don’t Forget to join our 50k+ ML SubReddit.

Machine Learning 102

Machine Learning Neural Network Data Scientist Inference Engine 102

Marktechpost

OCTOBER 17, 2024

Large Language Model (LLM)–based online agents have significantly advanced in recent times, resulting in unique designs and new benchmarks that show notable improvements in autonomous web navigation and interaction. If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

Inference Engine 62

Inference Engine Large Language Models LLM AI 62

Marktechpost

OCTOBER 15, 2024

The ever-increasing size of Large Language Models (LLMs) presents a significant challenge for practical deployment. Despite their transformative impact on natural language processing, these models are often hindered by high memory transfer requirements, which pose a bottleneck during autoregressive generation.

LLM 109

LLM Inference Engine Natural Language Processing Large Language Models 109

Marktechpost

OCTOBER 20, 2024

Vision-Language-Action Models (VLA) for robotics are trained by combining large language models with vision encoders and then fine-tuning them on various robot datasets; this allows generalization to new instructions, unseen objects, and distribution shifts. If you like our work, you will love our newsletter.

Robotics 113

Robotics Inference Engine Large Language Models ML 113

Marktechpost

OCTOBER 16, 2024

Model merging, particularly within the realm of large language models (LLMs), presents an intriguing challenge that addresses the growing demand for versatile AI systems. If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

Inference Engine 62

Inference Engine Large Language Models AI AI 62

Marktechpost

OCTOBER 16, 2024

Large language models (LLMs) have revolutionized various fields by enabling more effective data processing, complex problem-solving, and natural language understanding. If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

LLM 105

LLM AI Researcher AI Research Inference Engine 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 62

Large Language Models Inference Engine AI AI 62

ODSC - Open Data Science

MARCH 8, 2024

Source ) In a lawsuit filed last Thursday night in San Francisco Superior Court, Elon Musk has accused OpenAI, along with its CEO Sam Altman and Microsoft, of reneging on the foundational ethos of the artificial intelligence research company. Do AI video generators dream of San Pedro?

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Large Language Models Data Science 52

Marktechpost

OCTOBER 16, 2024

Large Language Models (LLMs) have demonstrated remarkable progress in natural language processing tasks, inspiring researchers to explore similar approaches for text-to-image synthesis. At the same time, diffusion models have become the dominant approach in visual generation.

Inference Engine 62

Inference Engine Natural Language Processing Large Language Models ML 62

Marktechpost

JUNE 8, 2023

There are rising worries about the potential negative impacts of large language models (LLMs), such as data memorization, bias, and unsuitable language, despite LLMs’ widespread praise for their capacity to generate natural-sounding text.

Large Language Models 109

Large Language Models LLM Inference Engine AI 109

Marktechpost

OCTOBER 15, 2024

Large language models (LLMs) have evolved to become powerful tools capable of understanding and responding to user instructions. Based on the transformer architecture, these models predict the next word or token in a sentence, generating responses with remarkable fluency. Don’t Forget to join our 50k+ ML SubReddit.

Inference Engine 90

Inference Engine Large Language Models ML Artificial Intelligence 90

Marktechpost

OCTOBER 20, 2024

The growing reliance on large language models for coding support poses a significant problem: how best to assess real-world impact on programmer productivity? If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

LLM 62

LLM Inference Engine Large Language Models ML 62

Marktechpost

OCTOBER 19, 2024

These methods rely on predefined rules or LLM (Large Language Model) judgments to identify potential vulnerabilities in code. Available methods for evaluating Code GenAI’s security risks, such as CYBERSECEVAL, focus primarily on static analysis. If you like our work, you will love our newsletter.

Inference Engine 97

Inference Engine Large Language Models LLM AI Modeling 97

Marktechpost

OCTOBER 21, 2024

While alternative methods like large language model (LLM)-based encoders can handle longer sequences, they fail to provide the same level of alignment as contrastive pre-training encoders do. The growing popularity of diffusion models has been driven by advancements in fast sampling techniques and text-conditioned generation.

Inference Engine 57

Inference Engine Large Language Models LLM ML 57

Unite.AI

JANUARY 17, 2024

Due to their exceptional content creation capabilities, Generative Large Language Models are now at the forefront of the AI revolution, with ongoing efforts to enhance their generative abilities. However, despite rapid advancements, these models require substantial computational power and resources. Let's begin.

Large Language Models 130

Large Language Models Inference Engine LLM Generative AI 130

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 109

Large Language Models Inference Engine LLM ML 109

NVIDIA

JULY 23, 2024

Now, developers and enterprises using the Together Inference Engine can maximize performance, scalability and security on NVIDIA DGX Cloud.” NeMo Evaluator provides automatic assessment of generative AI models across academic and custom benchmarks on any accelerated cloud or data center.

Generative AI 113

Generative AI AI Modeling AI AI 113

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 57

Large Language Models Inference Engine LLM AI 57

Viso.ai

MAY 24, 2024

LAMs also combine language understanding with reasoning and software agents. Although still under research and development, these models can be a transformative force in the Artificial Intelligence (AI) world. The architecture of a Large Action Model can vary depending on the wide range of tasks it can perform.

Neural Network 52

Neural Network Robotics Automation Explainability 52

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

Mlearning.ai

MAY 16, 2023

Introduction As more and more deep neural networks, like CNNs, Transformers, and Large Language Models (LLMs), generative models, etc., have been developed to increase the level of artificial intelligence (AI), it is also important to deploy the deep neural networks to mobile devices, like smart phones, AR glasses, etc.,

Neural Network 98

Neural Network Convolutional Neural Networks Inference Engine Deep Learning 98