Marktechpost

JANUARY 5, 2025

Dont Forget to join our 60k+ ML SubReddit. FREE UPCOMING AI WEBINAR (JAN 15, 2025): Boost LLM Accuracy with Synthetic Data and Evaluation Intelligence Join this webinar to gain actionable insights into boosting LLM model performance and accuracy while safeguarding data privacy.

LLM 90

LLM ML AI AI 90

Marktechpost

JANUARY 5, 2025

Dont Forget to join our 60k+ ML SubReddit. FREE UPCOMING AI WEBINAR (JAN 15, 2025): Boost LLM Accuracy with Synthetic Data and Evaluation Intelligence Join this webinar to gain actionable insights into boosting LLM model performance and accuracy while safeguarding data privacy. The post Dolphin 3.0

AI Modeling 85

AI Modeling AI LLM AI 85

Marktechpost

JANUARY 12, 2025

Dont Forget to join our 65k+ ML SubReddit. FREE UPCOMING AI WEBINAR (JAN 15, 2025): Boost LLM Accuracy with Synthetic Data and Evaluation Intelligence Join this webinar to gain actionable insights into boosting LLM model performance and accuracy while safeguarding data privacy.

Auto-classification 82

Auto-classification Automation Auto-complete BERT 82

Marktechpost

SEPTEMBER 19, 2024

Current tools used in software engineering, such as LLM-based models, assist developers by automating tasks like code summarization, bug detection, and code translation. This framework uses LLM-driven agents for software engineering tasks and includes three key modules: perception, memory, and action.

Software Engineer 136

Software Engineer LLM Software Development Automation 136

Marktechpost

SEPTEMBER 1, 2024

Current methods for improving LLM reasoning capabilities include strategies such as knowledge distillation, where a smaller model learns from a larger model, and self-improvement, where models are trained on data they generate themselves. Significant improvements in LLM performance were observed across various benchmarks.

LLM 137

LLM AI Modeling Large Language Models AI 137

Marktechpost

AUGUST 7, 2024

Introducing Lagent, a new open-source framework that simplifies the process of building large language model (LLM)-based agents. Lagent stands out by offering a lightweight and flexible solution that supports various models and provides tools to enhance the capabilities of LLMs.

Large Language Models 120

Large Language Models LLM Python OpenAI 120

Marktechpost

AUGUST 1, 2024

The primary issue addressed in the paper is the need for formal analysis and structured design principles for LLM-based algorithms. This approach is inefficient and lacks a theoretical foundation, making it difficult to optimize and accurately predict the performance of LLM-based algorithms.

Algorithm 120

Algorithm LLM Machine Learning Prompt Engineer 120

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

JULY 26, 2024

These include Chain-of-Thought (CoT), which guides LLMs to generate answers step by step by adding specific prompts to break down the task; Least-to-Most, which decomposes a complex problem into simpler sub-problems; and Self-Consistency, which uses a majority voting strategy to select the most frequent answer generated by the LLM.

LLM 117

LLM Prompt Engineer Prompt Engineering Large Language Models 117

Marktechpost

JULY 24, 2024

The study found no statistically significant improvement in success rates or speed of completing cyberattack phases with the LLM compared to traditional methods like search engines. In conclusion, Meta AI effectively outlines the challenges of assessing LLM cybersecurity capabilities and introduces CYBERSECEVAL 3 to address these challenges.

LLM 124

LLM Large Language Models Automation AI 124

Marktechpost

AUGUST 11, 2024

Successfully addressing this challenge is essential for advancing automated software engineering, particularly in enabling LLMs to handle real-world software development tasks that require a deep understanding of large-scale repositories. Check out the Paper and GitHub. All credit for this research goes to the researchers of this project.

Artificial Intelligence 120

Artificial Intelligence Artificial Intelligence LLM Software Engineer 120

Marktechpost

AUGUST 15, 2024

Several benchmark collections for evaluation, such as BFCL, ToolEval, and API-Bank, have been developed to measure LLM tool-use capabilities. It also incorporates an LLM-based user simulator where interactions with the model are conducted in a lifelike, on-policy manner, a more realistic evaluation of its power under real-life conditions.

LLM 107

LLM Large Language Models Python OpenAI 107

Marktechpost

AUGUST 14, 2024

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Machine Learning 110

Machine Learning ML Large Language Models LLM 110

Marktechpost

OCTOBER 23, 2024

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Large Language Models 131

Large Language Models LLM Inference Engine Algorithm 131

Marktechpost

SEPTEMBER 14, 2024

Researchers from Zhejiang University introduce OneGen, a novel solution that unifies the retrieval and generation processes into a single forward pass within an LLM. The technical foundation of OneGen involves augmenting the standard LLM vocabulary with retrieval tokens. If you like our work, you will love our newsletter.

LLM 124

LLM Large Language Models NLP AI 124

Marktechpost

AUGUST 16, 2024

Neural Magic has released the LLM Compressor , a state-of-the-art tool for large language model optimization that enables far quicker inference through much more advanced model compression. The second key technical advancement the LLM Compressor brings is activation and weight quantization support.

LLM 107

LLM Large Language Models Algorithm Deep Learning 107

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

LLM 111

LLM Algorithm AI Researcher AI Research 111

Marktechpost

AUGUST 18, 2024

Existing approaches to address these challenges fall into three main categories: baseline methods, LLM automation and suffix-based attacks, and manipulation of the decoding process. Researchers from NYU and MetaAI, FAIR introduce a theoretical framework for analyzing LLM pretraining and jailbreaking vulnerabilities.

LLM 107

LLM Large Language Models Deep Learning Automation 107

AI News

SEPTEMBER 27, 2024

” Mosaic AI offers several key components, which Everts outlines: Unified tooling: Provides “tools for building, deploying, evaluating, and governing AI and ML solutions, supporting predictive models and generative AI applications.” Explore other upcoming enterprise technology events and webinars powered by TechForge here.

Large Language Models 310

Large Language Models Big Data Explainability ETL 310

ODSC - Open Data Science

MARCH 20, 2025

Foundation Models for TimesSeries Here, we explain how this model adapts the standard LLM architecture to time series, and one of the most important components, large time series data sets, and how they are assembled. What Can You Do With a Free ODSC East ExpoPass? Register by Friday for 30%off!

ETL 52

ETL Prompt Engineer Prompt Engineering 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 103

LLM Inference Engine Chatbots ML 103

Marktechpost

JULY 21, 2024

To maximize Llama-3-70B’s potential, Nexusflow developed internal benchmarks evaluating LLM capabilities in instruction following, coding, creative writing, and multilingual tasks. The enhancement stems from Nexusflow’s targeted post-training pipeline, designed to improve specific model behaviors.

LLM 107

LLM Chatbots ML Large Language Models 107

Marktechpost

AUGUST 2, 2024

Large Language Model (LLM) agents are experiencing rapid diversification in their applications, ranging from customer service chatbots to code generation and robotics. The process begins with an LLM reasoner selecting appropriate settings from 150 diverse environments, followed by generating task-specific questions.

LLM 103

LLM Large Language Models AI AI 103

Marktechpost

AUGUST 10, 2024

Despite this, LLMs’ use in requirement engineering has gradually increased, driven by advancements in contextual analysis and reasoning through prompt engineering and Chain-of-Thought techniques. The field of LLM-based agents lacks standardized benchmarks, impeding effective performance evaluation.

Software Engineer 111

Software Engineer LLM Large Language Models Categorization 111

Marktechpost

JULY 26, 2024

They introduce the concept of a human generalization function, which models how people update their beliefs about an LLM’s capabilities after interacting with it. This survey generated a dataset of nearly 19,000 examples across 79 tasks, highlighting how humans generalize about LLM performance.

LLM 111

LLM Large Language Models AI AI 111

Marktechpost

JANUARY 5, 2025

Dont Forget to join our 60k+ ML SubReddit. FREE UPCOMING AI WEBINAR (JAN 15, 2025): Boost LLM Accuracy with Synthetic Data and Evaluation Intelligence Join this webinar to gain actionable insights into boosting LLM model performance and accuracy while safeguarding data privacy.

LLM 60

LLM ML AI AI 60

Marktechpost

AUGUST 4, 2024

Large Language Models (LLMs) have transformed artificial intelligence, particularly in developing agent-based systems. Enhancing the planning capabilities of LLM-based agents has become a critical area of research due to the intricate nature and essential need for precise task completion in numerous applications.

Automation 114

Automation LLM Large Language Models Artificial Intelligence 114

Marktechpost

AUGUST 15, 2024

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LLM 118

LLM Natural Language Processing Data Analysis Machine Learning 118

Marktechpost

OCTOBER 14, 2024

Don’t Forget to join our 50k+ ML SubReddit. 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.

LLM 117

LLM Large Language Models Inference Engine AI 117

Marktechpost

AUGUST 6, 2024

Initially, a baseline response is generated for a given instruction using a seed LLM. A modified version of the instruction is then created, prompting the LLM to generate a new response designed to be lower quality than the original. The model, acting as an LLM-as-a-Judge, generates reasoning traces and judgments for these pairs.

LLM 120

LLM NLP Large Language Models AI 120

Marktechpost

JULY 22, 2024

SciPhi has recently announced the release of Triplex , a state-of-the-art language model (LLM) designed specifically for knowledge graph construction. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup. If you like our work, you will love our newsletter.

LLM 114

LLM Data Scientist Data Analysis ML 114

Marktechpost

SEPTEMBER 20, 2024

This limitation poses a significant hurdle for AI-driven applications requiring structured LLM outputs integrated into their data streams. These advancements enhance the reliability and precision of LLM outputs, making Sketch a versatile solution for diverse NLP applications in both research and industrial settings.

LLM 114

LLM NLP Large Language Models Natural Language Processing 114

Marktechpost

SEPTEMBER 25, 2024

A team of researchers from the New Jersey Institute of Technology and Qatar Computing Research Institute has introduced PromSec, a solution that has been created to address this problem, which aims at optimizing LLM prompts to generate secure and functional code. It functions by combining two essential parts, which are as follows.

LLM 103

LLM Algorithm Large Language Models Software Development 103

Marktechpost

AUGUST 10, 2024

Generative Large Language Models (LLMs) have become an essential part of many applications due to their quick growth and widespread use. This means that the energy consumption of the inference clusters can be optimized by knowing the distinct processing requirements of different LLM tasks and how these requirements vary over time.

Large Language Models 105

Large Language Models Artificial Intelligence Artificial Intelligence LLM 105

Marktechpost

JULY 23, 2024

Optimizing TTFT has become a critical path toward efficient LLM inference. Prior studies have explored various approaches to address the challenges of efficient long-context inference and TTFT optimization in LLMs. The LazyLLM framework is designed to optimize LLM inference through progressive token pruning. Check out the Paper.

LLM 106

LLM Large Language Models AI AI 106

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. Don’t Forget to join our 50k+ ML SubReddit. Check out the Paper.

Machine Learning 114

Machine Learning LLM AI Researcher AI Research 114

Marktechpost

AUGUST 21, 2024

Large Language Models (LLMs) have advanced rapidly, becoming powerful tools for complex planning and cognitive tasks. This progress has spurred the development of LLM-powered multi-agent systems (LLM-MA systems), which aim to simulate and solve real-world problems through coordinated agent cooperation.

LLM 103

LLM Large Language Models Software Development AI 103