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 122

Artificial Intelligence Artificial Intelligence Automation Inference Engine 122

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. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

LLM 62

LLM Inference Engine Large Language Models ML 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. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

Inference Engine 62

Inference Engine Large Language Models LLM AI 62

Marktechpost

OCTOBER 17, 2024

This research offers a valuable tool for improving the quality and reliability of LLM-generated code and streamlining software development workflows. This approach is quite comprehensive but provides a setback due to its dependence on predefined tests that limit the adaptability in unconventional coding styles. Check out the Paper.

Machine Learning 67

Machine Learning Software Development Inference Engine Large Language Models 67

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 91

Large Language Models Inference Engine Natural Language Processing LLM 91

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 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 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

Towards AI

JULY 1, 2024

Last Updated on July 3, 2024 by Editorial Team Author(s): Suhaib Arshad Originally published on Towards AI. The field of generative AI has been seeing exponential development in recent years, from LLMs to text-to-image models and upcoming text-to-video models. Now that we have the API key, let’s get started.

Generative AI 64

Generative AI Inference Engine Large Language Models OpenAI 64

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

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. Each conversation style contributes to decomposing a mathematical problem into its core components, allowing the model to focus on each part in a detailed and logical manner.

Large Language Models 62

Large Language Models Inference Engine AI AI 62

ODSC - Open Data Science

MARCH 8, 2024

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Large Language Models Data Science 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

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. The research demonstrated superior results for both single-task adaptation and multi-task domains.

LLM 110

LLM Algorithm AI Researcher AI Research 110

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). Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

Inference Engine 105

Inference Engine LLM Large Language Models ML 105

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 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. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

Inference Engine 120

Inference Engine Large Language Models AI AI 120

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 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

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

Marktechpost

OCTOBER 21, 2024

A team of researchers from Microsoft Responsible AI Research and Johns Hopkins University proposed Controllable Safety Alignment (CoSA) , a framework for efficient inference-time adaptation to diverse safety requirements. The adapted strategy first produces an LLM that is easily controllable for safety.

Large Language Models 57

Large Language Models Inference Engine AI AI 57

Bugra Akyildiz

SEPTEMBER 22, 2024

Tyler wrote a blog post discusses a new method called Mélange for optimizing the cost efficiency of Large Language Model (LLM) deployments by exploiting GPU heterogeneity. By 2021, they had over 20 billion block rows in Postgres, growing to over 200 billion blocks by 2024.

Neural Network 59

Neural Network LLM Large Language Models Data Ingestion 59

Bugra Akyildiz

SEPTEMBER 8, 2024

🧑‍🔬 The LLM Scientist focuses on building the best possible LLMs using the latest techniques. 👷 The LLM Engineer focuses on creating LLM-based applications and deploying them. . 👷 The LLM Engineer focuses on creating LLM-based applications and deploying them.

LLM 52

LLM Large Language Models Neural Network Deep Learning 52

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. If you like our work, you will love our newsletter.

LLM 104

LLM Inference Engine NLP Large Language Models 104

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 109

LLM Large Language Models Inference Engine ML 109