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 109

LLM Inference Engine Large Language Models AI 109

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 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 109

Large Language Models Inference Engine Automation Data Scientist 109

Marktechpost

OCTOBER 17, 2024

Artificial Intelligence is evolving significantly, and Large Language Models have shown a remarkable capacity to comprehend human-text inputs. Going beyond simple text to analyzing and generating code, LLMs have shown promising results in software development. Check out the Paper. Don’t Forget to join our 50k+ ML SubReddit.

Machine Learning 67

Machine Learning Software Development Inference Engine Large Language Models 67

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 91

Large Language Models Inference Engine Natural Language Processing LLM 91

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 Inference Engine Natural Language Processing LLM 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.

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 109

Large Language Models LLM Inference Engine AI Developer 109

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

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 109

Large Language Models Inference Engine AI AI 109

Marktechpost

OCTOBER 20, 2024

None of these traditional approaches capture key metrics, such as how much time programmers spend coding, how frequently programmers accept LLM suggestions or the degree to which LLMs actually help solve complex problems. If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

LLM 62

LLM Inference Engine Large Language Models ML 62

Marktechpost

OCTOBER 18, 2024

This technique integrates multiple expert models to achieve multitask objectives, offering a promising path for LLM evolution. Despite advancements in model merging toolkits and the development of more powerful LLMs through iterative merging, the process largely relies on trial and error and human expertise. Check out the Papers.

Large Language Models 62

Large Language Models Neural Network Inference Engine LLM 62

Marktechpost

OCTOBER 17, 2024

Large Language Model (LLM)–based online agents have significantly advanced in recent times, resulting in unique designs and new benchmarks that show notable improvements in autonomous web navigation and interaction. If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

Inference Engine 62

Inference Engine Large Language Models LLM AI 62

Marktechpost

OCTOBER 19, 2024

These methods rely on predefined rules or LLM (Large Language Model) judgments to identify potential vulnerabilities in code. The second stage uses LLM-based mutators to generate large-scale data from these seed samples, preserving the original security context. These samples contain insecure and patched code and associated test cases.

Inference Engine 97

Inference Engine Large Language Models LLM AI Modeling 97

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 57

Large Language Models Inference Engine AI AI 57

Marktechpost

OCTOBER 15, 2024

Predibase announces the Predibase Inference Engine , their new infrastructure offering designed to be the best platform for serving fine-tuned small language models (SLMs). The Predibase Inference Engine addresses these challenges head-on, offering a tailor-made solution for enterprise AI deployments.

Inference Engine 104

Inference Engine LLM AI AI 104

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

ODSC - Open Data Science

MARCH 8, 2024

Source ) In a lawsuit filed last Thursday night in San Francisco Superior Court, Elon Musk has accused OpenAI, along with its CEO Sam Altman and Microsoft, of reneging on the foundational ethos of the artificial intelligence research company. Do AI video generators dream of San Pedro?

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Large Language Models Data Science 52

Marktechpost

OCTOBER 21, 2024

While alternative methods like large language model (LLM)-based encoders can handle longer sequences, they fail to provide the same level of alignment as contrastive pre-training encoders do. The growing popularity of diffusion models has been driven by advancements in fast sampling techniques and text-conditioned generation.

Inference Engine 57

Inference Engine Large Language Models LLM ML 57

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 113

Generative AI AI Modeling AI AI 113

Marktechpost

OCTOBER 21, 2024

The technology behind MIND works by prompting an LLM with a raw text from OpenWebMath and instructing it to break down the problem into a series of conversational turns. If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 62

Large Language Models Inference Engine AI AI 62

Viso.ai

MAY 24, 2024

Although still under research and development, these models can be a transformative force in the Artificial Intelligence (AI) world. It uses formal languages, like first-order logic, to represent knowledge and an inference engine to draw logical conclusions based on user queries. Conceptual Framework of LLM-Based Agent.

Neural Network 52

Neural Network Robotics Automation Explainability 52

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 102

LLM Inference Engine Chatbots ML 102

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 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 110

LLM Algorithm AI Researcher AI Research 110

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 Generative AI 130

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 105

Inference Engine LLM Large Language Models ML 105

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 15, 2024

These problems are particularly noticeable when deploying LLMs on NVIDIA Hopper GPUs, as balancing memory usage and computational speed becomes more challenging. Neural Magic introduces Machete: a new mixed-input GEMM kernel for NVIDIA Hopper GPUs, representing a major advancement in high-performance LLM inference.

LLM 67

LLM Inference Engine Large Language Models ML 67

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

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 120

Inference Engine Large Language Models AI AI 120

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

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 135

AI Developer AI Development Inference Engine Generative AI 135

Marktechpost

OCTOBER 15, 2024

A portion of this disparity might be attributed to the fact that LLMs have been used in various fields with various goals and input-output configurations. It is challenging for researchers to fine-tune the application of LLMs for particular jobs or contexts without this degree of information.

Large Language Models 57

Large Language Models Inference Engine LLM AI 57

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 OpenAI 117

Marktechpost

OCTOBER 17, 2024

Generate Search Queries: The system uses an LLM to generate relevant search queries. Extract Key References: Once the search results are collected, an LLM extracts the key references from each document. Step-by-Step Explanation of g.jina.ai To understand how g.jina.ai Call s.jina.ai for Web Search: For each query, g.jina.ai

Inference Engine 67

Inference Engine AI AI Large Language Models 67

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 85

Inference Engine LLM AI AI 85