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 112

LLM Algorithm AI Researcher AI Research 112

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

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 119

LLM Large Language Models Inference Engine AI 119

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 116

Machine Learning LLM AI Researcher AI Research 116

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 108

LLM AI Researcher AI Research Inference Engine 108

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 108

LLM Natural Language Processing Inference Engine Large Language Models 108

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

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

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.

Inference Engine 131

Inference Engine LLM Artificial Intelligence Artificial Intelligence 131

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 162

Inference Engine Large Language Models AI AI 162

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 112

LLM Inference Engine Large Language Models AI 112

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 124

Artificial Intelligence Artificial Intelligence Automation Inference Engine 124

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 115

Large Language Models LLM Inference Engine ML 115

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 134

AI Developer AI Development Generative AI Inference Engine 134

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 112

Large Language Models LLM Inference Engine Algorithm 112

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 65

LLM Python Large Language Models Inference Engine 65

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 17, 2024

Katanemo’s Arch-Function transforms workflow automation by simplifying LLM deployment and reducing engineering overhead, making it accessible even for smaller enterprises. Arch-Function is optimized for speed and precision, completing tasks in minutes that previously took hours while effectively adapting to dynamic requirements.

Large Language Models 108

Large Language Models Inference Engine Automation Data Scientist 108

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 118

AI Researcher AI Research Inference Engine Large Language Models 118

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 108

Large Language Models LLM Inference Engine AI 108

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 112

Large Language Models Natural Language Processing Inference Engine LLM 112

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

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 108

Large Language Models Inference Engine LLM ML 108

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 112

Large Language Models Inference Engine AI AI 112

NVIDIA

JUNE 12, 2024

This is the kind of horsepower needed to handle AI-assisted digital content creation, AI super resolution in PC gaming, generating images from text or video, querying local large language models (LLMs) and more. LLM performance is measured in the number of tokens generated by the model. Tokens are the output of the LLM.

LLM 105

LLM Generative AI AI AI 105

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 115

Inference Engine LLM Software Development Python 115

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 112

Large Language Models Inference Engine LLM Algorithm 112

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.

Inference Engine 108

Inference Engine Algorithm LLM ML 108

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. The results of the Agent-as-a-Judge framework achieved a 90% alignment with human evaluators, compared to LLM-as-a-Judge’s 70% alignment.

Large Language Models 108

Large Language Models LLM AI Developer AI Development 108

Marktechpost

OCTOBER 20, 2024

This is indeed a very serious challenge for the larger and more effective scaling of LLM modalities applied to real-world applications. Current solutions to alignment involve methods such as RLHF and direct preference optimization (DPO). If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

Inference Engine 107

Inference Engine LLM Large Language Models ML 107

Marktechpost

OCTOBER 18, 2024

One of the critical problems faced by AI researchers is that many current methods for enhancing LLM reasoning capabilities rely heavily on human intervention. Finally, the LLM uses these reasoning structures to create detailed reasoning paths. If you like our work, you will love our newsletter.

Large Language Models 112

Large Language Models Inference Engine AI AI 112

Marktechpost

OCTOBER 22, 2024

GenRM leverages a large pre-trained LLM to generate reasoning chains that help decision-making. The model also outperformed LLM-based judges, which rely solely on AI feedback, showcasing a more balanced approach to feedback optimization. If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

Inference Engine 115

Inference Engine Large Language Models LLM AI 115

Marktechpost

OCTOBER 22, 2024

A team of researchers from Carnegie Mellon University introduced PANGEA, a multilingual multimodal LLM designed to bridge linguistic and cultural gaps in visual understanding tasks. PANGEA is trained on a newly curated dataset, PANGEAINS, which contains 6 million instruction samples across 39 languages.

Large Language Models 107

Large Language Models Data Scarcity Inference Engine LLM 107

Towards AI

JULY 1, 2024

For example, LLAMA3 model optimized specifically to run on NIM, giving accelerated performance on inferences. Now that we have the API key, let’s get started. Install the required packages ! pip install langchain langchain-nvidia-ai-endpoints openai langchain-community langchain-qdrant langchainhub sentence-transformers Set up the API key.

Generative AI 98

Generative AI Inference Engine Large Language Models OpenAI 98

Marktechpost

OCTOBER 18, 2024

Researchers from Westlake University and Zhejiang University introduced an omni-modal LLM Baichuan-Omni alongside a multimodal training scheme designed to facilitate advanced multimodal processing and better user interactions. It also provides multilingual support for languages such as English and Chinese.

Large Language Models 111

Large Language Models Natural Language Processing Inference Engine LLM 111

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. If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

Inference Engine 119

Inference Engine Large Language Models AI AI 119