Marktechpost

DECEMBER 23, 2023

In a recent study, a team of researchers presented PowerInfer, an effective LLM inference system designed for local deployments using a single consumer-grade GPU. The team has shared that PowerInfer is a GPU-CPU hybrid inference engine that makes use of this understanding. Check out the Paper and Github.

Large Language Models 139

Large Language Models Machine Learning LLM Natural Language Processing 139

Marktechpost

OCTOBER 14, 2024

Researchers from Stanford University, Together AI, California Institute of Technology, and MIT introduced LoLCATS (Low-rank Linear Conversion via Attention Transfer). LoLCATS is a two-step method designed to efficiently improve the quality of linearized large language models without the need for expensive retraining on billions of tokens.

LLM 120

LLM Large Language Models Inference Engine AI 120

Marktechpost

OCTOBER 15, 2024

The key innovation in PAVs is using a “prover policy,” distinct from the base policy that the LLM is following. This enables the LLM to explore a wider range of potential solutions, even when early steps do not immediately lead to a correct solution. Check out the Paper. Don’t Forget to join our 50k+ ML SubReddit.

Machine Learning 117

Machine Learning LLM AI Research AI Researcher 117

Marktechpost

OCTOBER 16, 2024

Specifically, while LLMs are becoming capable of handling longer input sequences, the increase in retrieved information can overwhelm the system. The challenge lies in making sure that the additional context improves the accuracy of the LLM’s outputs rather than confusing the model with irrelevant information.

LLM 109

LLM AI Research AI Researcher Inference Engine 109

Marktechpost

OCTOBER 17, 2024

Research on the robustness of LLMs to jailbreak attacks has mostly focused on chatbot applications, where users manipulate prompts to bypass safety measures. However, LLM agents, which utilize external tools and perform multi-step tasks, pose a greater misuse risk, especially in malicious contexts like ordering illegal materials.

LLM 104

LLM Inference Engine Chatbots ML 104

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.

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Inference Engine Large Language Models AI AI 162

Marktechpost

OCTOBER 23, 2024

Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post Layer-of-Thoughts Prompting (LoT): A Unique Approach that Uses Large Language Model (LLM) based Retrieval with Constraint Hierarchies appeared first on MarkTechPost.

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Large Language Models LLM Inference Engine Algorithm 133

Marktechpost

OCTOBER 15, 2024

The key problem, therefore, is how to effectively compress LLM weights without sacrificing accuracy or requiring calibration data. Researchers from Apple and Meta AI introduce SeedLM, a novel approach that aims to overcome the challenges associated with the deployment of large-scale LLMs by providing a data-free compression method.

LLM 109

LLM Natural Language Processing Inference Engine Large Language Models 109

NVIDIA

APRIL 9, 2024

NVIDIA and Google Cloud have announced a new collaboration to help startups around the world accelerate the creation of generative AI applications and services. Startups in particular are constrained by the high costs associated with AI investments.

AI Development 140

AI Development AI Developer Generative AI Inference Engine 140

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. Moreover, to operate smoothly, generative AI models rely on thousands of GPUs, leading to significant operational costs. Let's begin.

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Large Language Models Inference Engine LLM Natural Language Processing 130

Marktechpost

MAY 23, 2024

Current RLHF approaches often involve dividing the LLM across multiple GPUs for training, but this strategy is not without its drawbacks. OpenRLHF leverages two key technologies: Ray, the Distributed Task Scheduler, and vLLM, the Distributed Inference Engine. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup.

Inference Engine 132

Inference Engine LLM Artificial Intelligence Artificial Intelligence 132

NVIDIA

JUNE 12, 2024

Editor’s note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and showcases new hardware, software, tools and accelerations for RTX PC users. The era of the AI PC is here, and it’s powered by NVIDIA RTX and GeForce RTX technologies. Tokens are the output of the LLM.

LLM 125

LLM Generative AI AI AI 125

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. GCR introduces a trie-based index named KG-Trie to integrate KG structures directly into the LLM decoding process. Don’t Forget to join our 50k+ ML SubReddit.

LLM 113

LLM Inference Engine Large Language Models AI 113

Bugra Akyildiz

FEBRUARY 2, 2025

Cost-effective: CoA reduces time complexity from n2 n 2 to nk nk , where n n is the number of input tokens and k k is the context limit of the LLM. These results demonstrate that CoA can enhance LLM performance even for models with very long context window limits and provides greater performance gains for longer inputs.

Inference Engine 59

Inference Engine LLM Large Language Models OpenAI 59

NVIDIA

JULY 23, 2024

Businesses seeking to harness the power of AI need customized models tailored to their specific industry needs. NVIDIA AI Foundry is a service that enables enterprises to use data, accelerated computing and software tools to create and deploy custom models that can supercharge their generative AI initiatives.

Generative AI 136

Generative AI AI Modeling AI AI 136

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. By prompting an LLM, researchers generate open-ended QA pairs and corresponding verification programs that ensure the questions are challenging yet verifiable.

AI Research 119

AI Research AI Researcher Inference Engine Large Language Models 119

Marktechpost

OCTOBER 21, 2024

By combining layer dropout, early exit loss, and self-speculative decoding, the researchers have proposed a novel approach that not only speeds up inference but also reduces memory requirements, making it feasible for large models to be deployed on commodity hardware. Check out the Paper , Model Series on Hugging Face , and GitHub.

Large Language Models 113

Large Language Models Inference Engine AI AI 113

Towards AI

DECEMBER 20, 2023

Originally published on Towards AI. In the last article, we saw that a clever compiler, quantization, Speculative decoding, and tensor parallelism implemented by Pytorch II can lead to a significant boost in inference performance. PowerInfer exploits such an insight to design a GPU-CPU hybrid inference engine.

Inference Engine 119

Inference Engine LLM AI AI 119

Marktechpost

JUNE 8, 2023

For the ever-growing challenge of LLM validation, ReLM provides a competitive and generalized starting point. ReLM is the first solution that allows practitioners to directly measure LLM behavior over collections too vast to enumerate by describing a query as the whole set of test patterns.

Large Language Models 109

Large Language Models LLM Inference Engine AI 109

Marktechpost

OCTOBER 18, 2024

Researchers in AI are working to enable these models to perform not just language understanding but also complex reasoning tasks like problem-solving in mathematics, logic, and general knowledge. This gap in performance across varied tasks presents a barrier to creating adaptable, general-purpose AI systems.

Large Language Models 113

Large Language Models Inference Engine AI AI 113

Marktechpost

OCTOBER 18, 2024

The lack of effective evaluation methods poses a serious problem for AI research and development. 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.

Large Language Models 109

Large Language Models LLM AI Development AI Developer 109

Marktechpost

OCTOBER 15, 2024

These workflows are modeled as graphs where nodes represent LLM-invoking actions, and edges represent the dependencies between these actions. The key to AFlow’s efficiency lies in its use of nodes and edges to represent workflows, allowing it to model complex relationships between LLM actions.

Artificial Intelligence 125

Artificial Intelligence Artificial Intelligence Automation Inference Engine 125

Marktechpost

OCTOBER 17, 2024

Enterprises struggle with the cumbersome nature of configuring LLMs for seamless collaboration across data sources, making it challenging to adopt them for operational efficiency. Katanemo has open-sourced Arch-Function , making scalable agentic AI accessible to developers, data scientists, and enterprises.

Large Language Models 109

Large Language Models Inference Engine Automation Data Scientist 109

Marktechpost

OCTOBER 2, 2024

Researchers developed an efficient, scalable, and lightweight framework for LLM inference, LightLLM, to address the challenge of efficiently deploying LLMs in environments with limited computational resources, such as mobile devices, edge computing, and resource-constrained environments. Check out the GitHub.

LLM 67

LLM Python Large Language Models Inference Engine 67

Marktechpost

OCTOBER 27, 2024

LLMs prefer contextual knowledge over their parametric knowledge, but during conflicts, existing solutions that need additional model interactions result in high latency times, making them impractical for real-world applications. Representation engineering emerged as a higher-level framework for understanding LLM behavior at scale.

Large Language Models 116

Large Language Models LLM Inference Engine ML 116

Towards AI

JULY 1, 2024

Last Updated on July 3, 2024 by Editorial Team Author(s): Suhaib Arshad Originally published on Towards AI. Image source) There has been a drastic increase in number of generative AI products since the debut of ChatGPT in 2022. For example, LLAMA3 model optimized specifically to run on NIM, giving accelerated performance on inferences.

Generative AI 98

Generative AI Inference Engine Large Language Models OpenAI 98

Marktechpost

OCTOBER 22, 2024

A recent approach, Reinforcement Learning from Human Feedback (RLHF), has brought remarkable improvements to large language models (LLMs) by incorporating human preferences into the training process. RLHF ensures that AI systems behave in ways aligned with human values. While this method improves alignment, it can be inefficient.

Inference Engine 117

Inference Engine Large Language Models LLM AI 117

Marktechpost

OCTOBER 18, 2024

Traditionally, large language models (LLMs) used for building TTS pipelines convert speech to text using automatic speech recognition (ASR), process it using an LLM, and then convert the output back to speech via TTS. Check out the GitHub and Details. All credit for this research goes to the researchers of this project.

Inference Engine 120

Inference Engine Large Language Models AI AI 120

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. Researchers from Zhejiang University and Alibaba Group have proposed WORFBENCH, a benchmark for evaluating workflow generation capabilities in LLM agents.

Large Language Models 113

Large Language Models LLM Inference Engine Algorithm 113

Marktechpost

OCTOBER 25, 2024

In light of these drawbacks, a trustworthy technique for determining when and how an LLM may be unsure about its capacity to follow directions is necessary to reduce the dangers involved with using these models. If you like our work, you will love our newsletter. Don’t Forget to join our 55k+ ML SubReddit.

LLM 102

LLM Inference Engine Large Language Models ML 102

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

Large Language Models 113

Large Language Models Natural Language Processing Inference Engine LLM 113

Marktechpost

OCTOBER 21, 2024

However, despite their success, LLMs often need help in mathematical reasoning, especially when solving complex problems requiring logical, step-by-step thinking. This research field is evolving rapidly as AI researchers explore new methods to enhance LLMs’ capabilities in handling advanced reasoning tasks, particularly in mathematics.

Large Language Models 113

Large Language Models Inference Engine AI AI 113

Marktechpost

JULY 27, 2024

Recent advancements in LLM capabilities have increased their usability by enabling them to do a broader range of general activities autonomously. There are two main obstacles to effective LM program utilization: The non-deterministic character of LLMs makes programming LM programs tedious and complex.

Inference Engine 117

Inference Engine LLM Software Development Python 117

Marktechpost

OCTOBER 21, 2024

Pluralistic alignment Recent works have underscored the significance of incorporating pluralistic human values and cultures in AI alignment. Some researchers highlighted that AI should have “normative competence,” meaning the ability to understand and adjust to diverse norms, promoting safety pluralism.

Large Language Models 104

Large Language Models Inference Engine LLM AI 104

Marktechpost

OCTOBER 17, 2024

Task superposition means that when an LLM is provided relevant examples for each task within the same input prompt, it can process and produce responses for several tasks at once. The team has shared their primary contributions as follows. Llama-3, and Qwen. If you like our work, you will love our newsletter.

Large Language Models 109

Large Language Models Inference Engine LLM ML 109

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). As conclusion the open-sourced Baichuan-Omni is a step toward developing a truly omni-modal LLM that encompasses all human senses.

Large Language Models 112

Large Language Models Natural Language Processing Inference Engine LLM 112

Marktechpost

OCTOBER 16, 2024

The Attack Generation and Exploration Module uses an attacker LLM to generate jailbreak prompts based on strategies from the Retrieval Module. These prompts target a victim LLM, with responses evaluated by a scorer LLM. This process generates attack logs for the Strategy Library Construction Module.

Large Language Models 113

Large Language Models Inference Engine LLM Algorithm 113