Marktechpost

OCTOBER 25, 2024

Zhipu AI recently released GLM-4-Voice, an open-source end-to-end speech large language model designed to address these limitations. It’s the latest addition to Zhipu’s extensive multi-modal large model family, which includes models capable of image understanding, video generation, and more.

Large Language Models 122

Large Language Models Inference Engine Artificial Intelligence Artificial Intelligence 122

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 111

Large Language Models LLM Inference Engine Algorithm 111

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 139

Large Language Models Machine Learning LLM Natural Language Processing 139

Marktechpost

OCTOBER 19, 2024

Recent advancements in large language models (LLMs) have significantly enhanced their ability to handle long contexts, making them highly effective in various tasks, from answering questions to complex reasoning. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 101

Large Language Models Inference Engine ML AI 101

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 111

Large Language Models Inference Engine AI AI 111

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 106

Large Language Models Data Scarcity Inference Engine LLM 106

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 111

Large Language Models Inference Engine AI AI 111

Marktechpost

OCTOBER 27, 2024

Formal theorem proving has emerged as a critical benchmark for assessing the reasoning capabilities of large language models (LLMs), with significant implications for mathematical automation. Each approach brought specific innovations but remained limited in handling the comprehensive requirements of formal theorem proving.

Large Language Models 100

Large Language Models Metadata Inference Engine Automation 100

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 111

Large Language Models Neural Network Inference Engine AI 111

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 107

Large Language Models Inference Engine Automation Data Scientist 107

Marktechpost

AUGUST 25, 2023

With the advent of increasingly complex models, the demand for accurate code generation has surged, but so have concerns about energy consumption and operational costs. Existing code generation models have grappled with the delicate balance between accuracy and efficiency. The implications of this development are profound.

Large Language Models 98

Large Language Models Inference Engine LLM Automation 98

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 109

Large Language Models Natural Language Processing Inference Engine LLM 109

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 107

Large Language Models Inference Engine LLM ML 107

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. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 111

Large Language Models Inference Engine Python Artificial Intelligence 111

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 106

Large Language Models Neural Network Machine Learning Inference Engine 106

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 103

Large Language Models Inference Engine AI AI 103

Marktechpost

FEBRUARY 21, 2025

SGLang is an open-source inference engine designed by the SGLang team to address these challenges. It optimizes CPU and GPU resources during inference, achieving significantly higher throughput than many competitive solutions.

Inference Engine 82

Inference Engine LLM Large Language Models Metadata 82

Unite.AI

NOVEMBER 25, 2024

As AI engineers, crafting clean, efficient, and maintainable code is critical, especially when building complex systems. For AI and large language model (LLM) engineers , design patterns help build robust, scalable, and maintainable systems that handle complex workflows efficiently. model hyperparameters).

Python 144

Python LLM AI Engineer AI 144

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 117

LLM Large Language Models Inference Engine AI 117

AWS Machine Learning Blog

DECEMBER 2, 2024

This enhancement allows customers running high-throughput production workloads to handle sudden traffic spikes more efficiently, providing more predictable scaling behavior and minimal impact on end-user latency across their ML infrastructure, regardless of the chosen inference framework. dkr.ecr.amazonaws.com/sagemaker-tritonserver:24.09-py3",

Generative AI 105

Generative AI Machine Learning Large Language Models ML Engineer 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 60

Large Language Models Inference Engine Explainability LLM 60

Marktechpost

OCTOBER 16, 2024

Nvidia introduces the Nemotron 70B Model, built to offer a new benchmark in the realm of large language models (LLMs). In conclusion, Nvidia’s Nemotron 70B Model is poised to redefine the landscape of large language models, addressing critical gaps in efficiency, accuracy, and energy consumption.

Large Language Models 111

Large Language Models Inference Engine Generative AI AI 111

Unite.AI

SEPTEMBER 24, 2024

NVIDIA Inference Microservices (NIM) and LangChain are two cutting-edge technologies that meet these needs, offering a comprehensive solution for deploying AI in real-world environments. Understanding NVIDIA NIM NVIDIA NIM, or NVIDIA Inference Microservices, is simplifying the process of deploying AI models.

Inference Engine 157

Inference Engine Large Language Models AI AI 157

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 56

Large Language Models Inference Engine LLM AI 56

Marktechpost

OCTOBER 27, 2024

NotebookLlama integrates large language models directly into an open-source notebook interface, similar to Jupyter or Google Colab, allowing users to interact with a trained LLM as they would with any other cell in a notebook environment. If you like our work, you will love our newsletter.

Inference Engine 139

Inference Engine Large Language Models Software Development Data Analysis 139

Marktechpost

OCTOBER 31, 2024

This versatility ensures that developers do not need to worry about compatibility issues, regardless of where their models are stored. Additionally, Run Model Streamer integrates natively with popular inference engines, eliminating the need for time-consuming model format conversions.

Data Scientist 79

Data Scientist Inference Engine Machine Learning AI Modeling 79

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 113

Generative AI AI Modeling Large Language Models Inference Engine 113

Marktechpost

FEBRUARY 26, 2025

It outperforms traditional OCR tools in structured data recognition and large-scale processing and has the highest ELO score in human evaluations. Improves language model training by increasing accuracy by 1.3 Compatible with inference engines like vLLM and SGLang, allowing flexible deployment on various hardware setups.

Metadata 80

Metadata Inference Engine Deep Learning AI 80

AWS Machine Learning Blog

NOVEMBER 26, 2024

The use of large language models (LLMs) and generative AI has exploded over the last year. With the release of powerful publicly available foundation models, tools for training, fine tuning and hosting your own LLM have also become democratized. llm = LLM(model="meta-llama/Llama-3.2-1B",

LLM 103

LLM AI AI Artificial Intelligence 103

Marktechpost

OCTOBER 15, 2024

The challenge lies in generating effective agentic workflows for Large Language Models (LLMs). Despite their remarkable capabilities across diverse tasks, creating workflows that combine multiple LLMs into coherent sequences is labor-intensive, which limits scalability and adaptability to new tasks.

Artificial Intelligence 122

Artificial Intelligence Artificial Intelligence Automation Inference Engine 122

Marktechpost

OCTOBER 23, 2024

Evaluations across multiple large language models (LLMs) have shown that SynthID-Text offers improved detectability compared to existing methods, while side-by-side comparisons with human reviewers indicate no loss in text quality. If you like our work, you will love our newsletter. Don’t Forget to join our 55k+ ML SubReddit.

Large Language Models 107

Large Language Models Responsible AI Inference Engine Metadata 107

Marktechpost

OCTOBER 20, 2024

Open Collective has recently introduced the Magnum/v4 series, which includes models of 9B, 12B, 22B, 27B, 72B, and 123B parameters. This release marks a significant milestone for the open-source community, as it aims to create a new standard in large language models that are freely available for researchers and developers.

Large Language Models 107

Large Language Models Natural Language Processing Inference Engine AI Development 107

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 111

Large Language Models Inference Engine LLM Algorithm 111

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 Natural Language Processing Inference Engine LLM 111

Marktechpost

OCTOBER 18, 2024

The rapid growth of large language models (LLMs) has brought impressive capabilities, but it has also highlighted significant challenges related to resource consumption and scalability. LLMs often require extensive GPU infrastructure and enormous amounts of power, making them costly to deploy and maintain.

LLM 107

LLM Large Language Models Inference Engine ML 107

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 111

LLM Inference Engine Large Language Models AI 111

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 120

LLM Inference Engine Large Language Models Machine Learning 120