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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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LLM Large Language Models Software Development AI 104

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.

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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.

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Marktechpost

SEPTEMBER 24, 2024

While RL and LLM-based agents have shown promise, they exhibit several limitations. On the other hand, LLM-based agents, which are used for generating action sequences, often lack the ability to refine their actions based on past experiences. This novel system enhances LLM-based agents by equipping them with an interaction memory.

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Artificial Intelligence Artificial Intelligence LLM Robotics 109

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.

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LLM Large Language Models AI AI 113

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.

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LLM Large Language Models Automation AI 126

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.

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Marktechpost

SEPTEMBER 17, 2024

Comet has unveiled Opik , an open-source platform designed to enhance the observability and evaluation of large language models (LLMs). This tool is tailored for developers and data scientists to monitor, test, and track LLM applications from development to production.

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LLM Large Language Models Automation Data Scientist 104

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.

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Marktechpost

AUGUST 4, 2024

This fragmentation is due to the lack of a unified interface that integrates LLM capabilities within the native environment of various applications. Existing methods to incorporate LLM functionality primarily involve browser-based interfaces or specialized applications like Grammarly and Microsoft Office’s Copilot. seconds for ChatGPT.

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Large Language Models LLM ChatGPT Python 103

Marktechpost

AUGUST 30, 2024

Researchers from Aleph Alpha announce a new foundation model family that includes Pharia-1-LLM-7B-control and Pharia-1-LLM-7B-control-aligned. Pharia-1-LLM-7B-control is engineered to deliver concise, length-controlled responses that match the performance of leading open-source models in the 7B to 8B parameter range.

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LLM Chatbots AI Research AI Researcher 57

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.

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LLM Data Scientist Data Analysis ML 117

Marktechpost

AUGUST 17, 2024

This capability could potentially unlock new avenues in agentic and reasoning tasks, enable smaller on-device models to replace datacenter-scale LLMs and provide a path toward general self-improvement algorithms with reduced human supervision. Check out the Paper. All credit for this research goes to the researchers of this project.

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Marktechpost

AUGUST 25, 2024

Among the critical issues this research addresses is the influence of irrelevant information on LLM reasoning performance. LLMs often seek clarification in problem descriptions containing extraneous details, leading to wrong deductions. In most real-world applications, the information provided is not all relevant to the task at hand.

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Marktechpost

AUGUST 11, 2024

LLMs have opened new avenues for extracting meaningful insights from data by simplifying the process of generating code for various analytical tasks. However, the rapid adoption of LLM-powered tools also introduces challenges, particularly in ensuring the reliability and accuracy of the analysis, which is crucial for informed decision-making.

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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.

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LLM Inference Engine Large Language Models AI 109

Marktechpost

JULY 23, 2024

Recent advances in large language models (LLMs) have made it possible to use LLM agents in many areas, including safety-critical ones like finance, healthcare, and self-driving cars. Usually, these agents use an LLM to understand tasks for making plans, and they can use external tools, like third-party APIs, to carry out those plans.

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LLM Large Language Models Algorithm ML 101

Marktechpost

SEPTEMBER 17, 2024

A team of researchers from France proposed a reproducible AI framework that supports various LLM architectures for attributed information seeking and is adaptable to any dataset. The proposed framework is designed to benchmark attributed information-seeking tasks with different LLM architectures.

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LLM AI AI ML 57

Marktechpost

AUGUST 2, 2024

However, the deployment of LLMs necessitates robust mechanisms to ensure safe and responsible user interactions. Current practices often employ content moderation solutions like LlamaGuard, WildGuard, and AEGIS to filter LLM inputs and outputs for potential safety risks. Check out the Paper and HF Model Card.

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LLM Large Language Models AI AI 104

Marktechpost

AUGUST 12, 2024

Thus, LLMs must possess knowledge beyond code generation to effectively modernize these systems. XMainframe To address these challenges, researchers at FPT Software AI Center have developed XMainframe , a state-of-the-art large language model (LLM) specifically designed with expertise in mainframe legacy systems and COBOL codebases.

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Large Language Models LLM Software Engineer Software Development 113

Marktechpost

JULY 29, 2024

Artificial Intelligence (AI) and Machine Learning (ML) are rapidly advancing fields that have significantly impacted various industries. Autonomous agents, a specialized branch of AI, are designed to operate independently, make decisions, and adapt to changing environments. If you like our work, you will love our newsletter.

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Large Language Models LLM Artificial Intelligence Artificial Intelligence 127

AI News

APRIL 9, 2024

Gemma, and Mistral, Stable LM 2 12B offers solid results when tested on zero-shot and few-shot tasks across general benchmarks outlined in the Open LLM leaderboard: With this new release, Stability AI extends the StableLM 2 family into the 12B category, providing an open and transparent model without compromising power and accuracy.

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Marktechpost

AUGUST 10, 2024

On the other hand, while more aligned with human-like reasoning, LLM-based methods still need help with issues such as invalid context handling and low pass rates. This method enhances LLM-based unit test generation through a co-evolutionary process integrating automated generation with iterative repair.

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Marktechpost

JULY 25, 2024

Researchers have attempted to solve video processing challenges using various LLM approaches. Image LLMs like Flamingo, BLIP-2, and LLaVA demonstrated success in visual-textual tasks, while Video LLMs such as Video-ChatGPT and Video-LLaVA extended these capabilities to video processing. using a 7B LLM.

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LLM Large Language Models ChatGPT ML 103

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.

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Artificial Intelligence Artificial Intelligence Automation Inference Engine 122

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. Don’t Forget to join our 50k+ ML SubReddit. Another exciting day here Katanemo as we open source some of the "intelligence" behind Arch ( [link] ).

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Large Language Models Inference Engine Automation Data Scientist 109

Marktechpost

AUGUST 16, 2024

Specifically, Guardrails can ensure that requests and responses are formatted according to predefined standards, reducing the risks associated with variable or harmful LLM outputs. This would be important because LLMs are inherently brittle, often failing in the most unexpected ways. If you like our work, you will love our newsletter.

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LLM AI AI Large Language Models 62

Marktechpost

SEPTEMBER 17, 2024

” This novel perspective posits that every stage of the LLM process has a non-zero probability of producing hallucinations, emphasizing the need for a new approach to managing these inherent errors in language models. It argues that these inaccuracies stem from the fundamental mathematical and logical underpinnings of LLMs.

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