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 132

Large Language Models LLM Inference Engine Algorithm 132

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 Research AI Researcher 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

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).

Inference Engine 131

Inference Engine LLM Artificial Intelligence Artificial Intelligence 131

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 Research AI Researcher 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 Research AI Researcher Inference Engine 108

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.

Inference Engine 162

Inference Engine Large Language Models AI AI 162

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

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

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 Development 145

AI Development AI Developer Generative AI Inference Engine 145

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

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 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 115

Inference Engine Large Language Models LLM AI 115

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 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 111

Large Language Models Natural Language Processing Inference Engine LLM 111

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 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 Research 118

AI Research AI Researcher 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

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

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

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

JULY 23, 2024

Inferencing solutions like NVIDIA TensorRT-LLM deliver improved efficiency for Llama 3.1 NVIDIA NIM and TensorRT-LLM minimize inference latency and maximize throughput for Llama 3.1 Now, developers and enterprises using the Together Inference Engine can maximize performance, scalability and security on NVIDIA DGX Cloud.”

Generative AI 144

Generative AI AI Modeling AI AI 144

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

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 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 Development AI Developer 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

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

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

Marktechpost

OCTOBER 27, 2024

The disconnect between laboratory performance and practical applications raises concerns about the true effectiveness of LLM-based provers. Current methodologies often fail to capture the intricate nature of mathematical reasoning required in authentic theorem-proving scenarios, limiting their practical utility.

Large Language Models 100

Large Language Models Metadata Inference Engine Automation 100