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. Check out the Paper , Model Series on Hugging Face , and GitHub. All credit for this research goes to the researchers of this project.

Large Language Models 111

Large Language Models Inference Engine AI AI 111

Marktechpost

SEPTEMBER 1, 2023

In the fast-paced world of AI, efficient code generation is a challenge that can’t be overlooked. 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. This is where DeciCoder emerges as a transformative solution.

Large Language Models 114

Large Language Models Inference Engine LLM Automation 114

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

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 27, 2024

Large Language Models (LLMs) have demonstrated impressive capabilities in handling knowledge-intensive tasks through their parametric knowledge stored within model parameters. Don’t Forget to join our 55k+ ML SubReddit.

Large Language Models 114

Large Language Models LLM Inference Engine ML 114

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 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

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. GPU memory ).

Python 144

Python LLM AI Engineer AI 144

Marktechpost

OCTOBER 17, 2024

One of the biggest hurdles organizations face is implementing Large Language Models (LLMs) to handle intricate workflows effectively. Katanemo has open-sourced Arch-Function , making scalable agentic AI accessible to developers, data scientists, and enterprises. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 107

Large Language Models Inference Engine Automation Data Scientist 107

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 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

AUGUST 25, 2023

In the fast-paced world of AI, efficient code generation is a challenge that can’t be overlooked. 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. This is where DeciCoder emerges as a transformative solution.

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 16, 2024

Although there are situations where increasing model size may slightly mitigate the collapse, it does not entirely prevent the problem. The results are particularly concerning given the increasing reliance on synthetic data in large-scale AI systems. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 106

Large Language Models Neural Network Machine Learning Inference Engine 106

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 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. Tools such as GPT-4 and Llama-3 have demonstrated remarkable language generation abilities, but their capacity for introspection had not been fully explored until this study.

Large Language Models 103

Large Language Models Inference Engine AI AI 103

AWS Machine Learning Blog

DECEMBER 2, 2024

Today at AWS re:Invent 2024, we are excited to announce the new Container Caching capability in Amazon SageMaker, which significantly reduces the time required to scale generative AI models for inference. 70B model showed significant and consistent improvements in end-to-end (E2E) scaling times.

Generative AI 105

Generative AI Machine Learning Large Language Models AI 105

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

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", 1B is running.

LLM 103

LLM AI AI Artificial Intelligence 103

Unite.AI

SEPTEMBER 24, 2024

Artificial Intelligence (AI) has moved from a futuristic idea to a powerful force changing industries worldwide. AI-driven solutions are transforming how businesses operate in sectors like healthcare, finance, manufacturing, and retail. However, scaling AI across an organization takes work.

Inference Engine 157

Inference Engine Large Language Models AI AI 157

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. Also,feel free to follow us on Twitter and dont forget to join our 75k+ ML SubReddit.

Inference Engine 82

Inference Engine LLM Large Language Models Metadata 82

Marktechpost

OCTOBER 31, 2024

Optimizing model loading times across different storage solutions—whether on-premises or in the cloud—remains a significant challenge for many teams. Run AI recently announced an open-source solution to tackle this very problem: Run AI: Model Streamer. seconds, whereas Run Model Streamer can do it in just 4.88

Data Scientist 79

Data Scientist Inference Engine Machine Learning AI Modeling 79

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

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. Check out the GitHub Repo. If you like our work, you will love our newsletter.

Inference Engine 139

Inference Engine Large Language Models Software Development AI 139

Marktechpost

OCTOBER 16, 2024

Current generative AI models face challenges related to robustness, accuracy, efficiency, cost, and handling nuanced human-like responses. There is a need for more scalable and efficient solutions that can deliver precise outputs while being practical for diverse AI applications. Check out the Models here.

Large Language Models 111

Large Language Models Inference Engine AI AI 111

Marktechpost

FEBRUARY 26, 2025

Access to high-quality textual data is crucial for advancing language models in the digital age. Modern AI systems rely on vast datasets of token trillions to improve their accuracy and efficiency. On the other hand, end-to-end models like Nougat and GOT Theory 2.0 percentage points across multiple AI benchmark tasks.

Metadata 80

Metadata Inference Engine Deep Learning AI 80

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. In conclusion, the Embodied Agent Interface offers a thorough framework for evaluating LLM performance in tasks involving embodied AI.

Large Language Models 56

Large Language Models Inference Engine LLM AI 56

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 26, 2024

However, recent advancements in generative AI have opened up new possibilities for creating an infinite game experience. Researchers from Google and The University of North Carolina at Chapel Hill introduced UNBOUNDED, a generative infinite game designed to go beyond traditional, finite video game boundaries using AI.

Generative AI 113

Generative AI AI Modeling Large Language Models Inference Engine 113

Marktechpost

OCTOBER 23, 2024

AI-generated content is advancing rapidly, creating both opportunities and challenges. As generative AI tools become mainstream, the blending of human and AI-generated text raises concerns about authenticity, authorship, and misinformation.

Large Language Models 107

Large Language Models Responsible AI Inference Engine Metadata 107

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. IBM has officially released Granite 3.0

AI Modeling 114

AI Modeling Large Language Models Natural Language Processing Inference Engine 114

Unite.AI

JULY 18, 2024

AI hardware is growing quickly, with processing units like CPUs, GPUs, TPUs, and NPUs, each designed for specific computing needs. This variety fuels innovation but also brings challenges when deploying AI across different systems. As AI processing units become more varied, finding effective deployment strategies is crucial.

Neural Network 157

Neural Network AI Modeling AI AI 157

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

Marktechpost

OCTOBER 24, 2024

The rapid growth of large language models (LLMs) has brought significant advancements across various sectors, but it has also presented considerable challenges. These challenges not only impact the environment but also widen the gap between tech giants and smaller entities trying to leverage AI capabilities.

Large Language Models 117

Large Language Models NLP Natural Language Processing Inference Engine 117

Marktechpost

OCTOBER 24, 2024

Researchers from Salesforce AI Research have proposed Programmatic VLM Evaluation (PROVE), a new benchmarking paradigm that evaluates VLM responses to open-ended visual queries. If you like our work, you will love our newsletter. Don’t Forget to join our 55k+ ML SubReddit.

AI Researcher 116

AI Researcher AI Research Inference Engine Large Language Models 116

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

LLM 111

LLM Inference Engine Large Language Models AI 111

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 111

LLM Algorithm AI Researcher AI Research 111