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 17, 2024

MARS Lab, NTU has devised an innovative IoT-LLM framework that combats the limitations of the LLM in handling real-world tasks. For example, in traditional LLMs like Chat-GPT 4, only 40% accuracy in activity recognition and 50% in machine diagnosis are achieved after processing the raw IoT data.

LLM 120

LLM Inference Engine Large Language Models Machine Learning 120

Marktechpost

OCTOBER 18, 2024

Addressing these issues requires a lightweight, flexible, and efficient approach that reduces friction in LLM research. Meta AI releases Meta Lingua: a minimal and fast LLM training and inference library designed for research. Check out the GitHub and Details. All credit for this research goes to the researchers of this project.

LLM 111

LLM NLP Inference Engine Large Language Models 111

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.

Large Language Models 131

Large Language Models LLM Inference Engine Algorithm 131

Marktechpost

OCTOBER 17, 2024

Researchers from Google Cloud AI, Google DeepMind, and the University of Washington have proposed a new approach called MODEL SWARMS , which utilizes swarm intelligence to adapt LLMs through collaborative search in the weight space.

LLM 111

LLM Algorithm AI Researcher AI Research 111

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.

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LLM Inference Engine Chatbots ML 103

Marktechpost

MAY 23, 2024

Artificial Intelligence is undergoing rapid evolution, especially regarding the training of massive language models (LLMs) with parameters exceeding 70 billion. However, effectively harnessing the power of such advanced LLMs requires human input through a technique known as Reinforcement Learning from Human Feedback (RLHF).

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Inference Engine LLM Artificial Intelligence Artificial Intelligence 130

Marktechpost

OCTOBER 14, 2024

Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post Stanford Researchers Propose LoLCATS: A Cutting Edge AI Method for Efficient LLM Linearization appeared first on MarkTechPost. Don’t Forget to join our 50k+ ML SubReddit.

LLM 117

LLM Large Language Models Inference Engine AI 117

Marktechpost

OCTOBER 18, 2024

Microsoft recently open-sourced bitnet.cpp , a super-efficient 1-bit LLM inference framework that runs directly on CPUs, meaning that even large 100-billion parameter models can be executed on local devices without the need for a GPU. Check out the GitHub. All credit for this research goes to the researchers of this project.

LLM 107

LLM Large Language Models Inference Engine ML 107

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 114

Machine Learning LLM AI Researcher AI Research 114

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 107

LLM AI Researcher AI Research Inference Engine 107

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 107

LLM Natural Language Processing Inference Engine Large Language Models 107

Unite.AI

SEPTEMBER 24, 2024

Artificial Intelligence (AI) has moved from a futuristic idea to a powerful force changing industries worldwide. 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.

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Inference Engine Large Language Models AI AI 157

Unite.AI

JANUARY 17, 2024

In this article, we will discuss PowerInfer, a high-speed LLM inference engine designed for standard computers powered by a single consumer-grade GPU. The PowerInfer framework seeks to utilize the high locality inherent in LLM inference, characterized by a power-law distribution in neuron activations.

Large Language Models 130

Large Language Models Inference Engine LLM Natural Language Processing 130

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 111

LLM Inference Engine Large Language Models AI 111

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. Don’t Forget to join our 55k+ ML SubReddit.

Inference Engine 139

Inference Engine Large Language Models Software Development Data Analysis 139

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 114

Large Language Models LLM Inference Engine ML 114

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 111

Large Language Models LLM Inference Engine Algorithm 111

Marktechpost

SEPTEMBER 1, 2023

Addressing this efficiency gap head-on, Deci, a pioneering AI company, introduces DeciCoder, a 1-billion-parameter open-source Large Language Model (LLM) that aims to redefine the gold standard in efficient and accurate code generation. Existing code generation models have grappled with the delicate balance between accuracy and efficiency.

Large Language Models 114

Large Language Models Inference Engine LLM Automation 114

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. GenRM leverages a large pre-trained LLM to generate reasoning chains that help decision-making. If you like our work, you will love our newsletter.

Inference Engine 114

Inference Engine Large Language Models LLM AI 114

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.

LLM 64

LLM Python Large Language Models Inference Engine 64

Towards AI

DECEMBER 20, 2023

Another clever way of distributing the workload between CPU and GPU in a way to speed up most of the local inference workloads. The key underlying the design of PowerInfer is exploiting the high locality inherent in LLM inference, characterized by a power-law distribution in neuron activation.

Inference Engine 119

Inference Engine LLM AI AI 119

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 109

Large Language Models Natural Language Processing Inference Engine LLM 109

Marktechpost

OCTOBER 17, 2024

Katanemo’s Arch-Function transforms workflow automation by simplifying LLM deployment and reducing engineering overhead, making it accessible even for smaller enterprises. Another exciting day here Katanemo as we open source some of the "intelligence" behind Arch ( [link] ).

Large Language Models 107

Large Language Models Inference Engine Automation Data Scientist 107

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 116

AI Researcher AI Research Inference Engine Large Language Models 116

NVIDIA

APRIL 9, 2024

Teams from the companies worked closely together to accelerate the performance of Gemma — built from the same research and technology used to create Google DeepMind’s most capable model yet, Gemini — with NVIDIA TensorRT-LLM , an open-source library for optimizing large language model inference, when running on NVIDIA GPUs.

AI Developer 131

AI Developer AI Development Generative AI Inference Engine 131

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 101

LLM Inference Engine Large Language Models ML 101

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 107

Large Language Models LLM Inference Engine AI 107

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 111

Large Language Models Natural Language Processing Inference Engine LLM 111

Unite.AI

AUGUST 6, 2024

higher throughput compared to state-of-the-art inference systems on various large language and multimodal models, tackling tasks such as agent control, logical reasoning, few-shot learning benchmarks, JSON decoding, retrieval-augmented generation pipelines, and multi-turn chat. Experiments demonstrate that SGLang achieves up to 6.4×

LLM 130

LLM Inference Engine Auto-complete Python 130

Marktechpost

AUGUST 25, 2023

Addressing this efficiency gap head-on, Deci, a pioneering AI company, introduces DeciCoder, a 1-billion-parameter open-source Large Language Model (LLM) that aims to redefine the gold standard in efficient and accurate code generation. Existing code generation models have grappled with the delicate balance between accuracy and efficiency.

Large Language Models 98

Large Language Models Inference Engine LLM Automation 98

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 107

Large Language Models Inference Engine LLM ML 107

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 111

Large Language Models Inference Engine AI AI 111

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 114

Inference Engine LLM Software Development Python 114

Unite.AI

JUNE 21, 2024

The field of artificial intelligence (AI) has witnessed remarkable advancements in recent years, and at the heart of it lies the powerful combination of graphics processing units (GPUs) and parallel computing platform. Accelerating LLM Training with GPUs and CUDA. 122 ~/local 1 Verify the installation: ~/local/cuda-12.2/bin/nvcc

Deep Learning 130

Deep Learning Neural Network Convolutional Neural Networks Large Language Models 130

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 111

Large Language Models Inference Engine LLM Algorithm 111

Marktechpost

OCTOBER 19, 2024

The study also employed regularization schemes like Negative Log-Likelihood (NLL) to mitigate over-optimization and evaluated generalization performance using LLM-as-a-Judge, a framework for comparing model outputs with those from other leading models. If you like our work, you will love our newsletter.

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Inference Engine Algorithm LLM ML 107