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Katanemo Open Sources Arch-Function: A Set of Large Language Models (LLMs) Promising Ultra-Fast Speeds at Function-Calling Tasks for Agentic Workflows

Marktechpost

OCTOBER 17, 2024

One of the biggest hurdles organizations face is implementing Large Language Models (LLMs) to handle intricate workflows effectively. Issues of speed, flexibility, and scalability often hinder the automation of complex workflows requiring coordination across multiple systems. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 109
Large Language Models Inference Engine Automation Data Scientist 109
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LASR: A Novel Machine Learning Approach to Symbolic Regression Using Large Language Models

Marktechpost

SEPTEMBER 21, 2024

By producing interpretable equations, symbolic regression allows scientists to explain patterns in data more intuitively, making it a valuable tool in the broader pursuit of automated scientific discovery. A key challenge in symbolic regression is the enormous search space for potential hypotheses.

Large Language Models 120
Large Language Models Machine Learning LLM Explainability 120
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VulScribeR: A Large Language Model-Based Approach for Generating Diverse and Realistic Vulnerable Code Samples

Marktechpost

AUGUST 12, 2024

Over the years, the development of automated tools to detect these vulnerabilities has become increasingly important, particularly as software systems grow more complex and interconnected. If left unchecked, vulnerabilities can lead to significant security breaches, compromising the integrity of software and the data it handles.

Large Language Models 109
Large Language Models Data Scarcity Software Engineer LLM 109
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Lagent: A Lightweight Open-Source Python Framework that Allows Users to Efficiently Build Large Language Model (LLM)-Based Agents

Marktechpost

AUGUST 7, 2024

Developing efficient language model-based agents is crucial for various applications, from virtual assistants to automated customer service. One can face challenges in integrating different models, managing actions, and ensuring seamless operation of these intelligent systems.

Large Language Models 123
Large Language Models LLM Python OpenAI 123
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AFlow: A Novel Artificial Intelligence Framework for Automated Workflow Optimization

Marktechpost

OCTOBER 15, 2024

The challenge lies in generating effective agentic workflows for Large Language Models (LLMs). Efforts to automate workflow generation have not yet fully eliminated the need for human intervention, making broad generalization and effective skill transfer for LLMs difficult to achieve.

Artificial Intelligence 122
Artificial Intelligence Artificial Intelligence Automation Inference Engine 122
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Imposter.AI: Unveiling Adversarial Attack Strategies to Expose Vulnerabilities in Advanced Large Language Models

Marktechpost

JULY 25, 2024

Large Language Models (LLMs) excel in generating human-like text, offering a plethora of applications from customer service automation to content creation. However, this immense potential comes with significant risks. LLMs are prone to adversarial attacks that manipulate them into producing harmful outputs.

Large Language Models 104
Large Language Models Automation ML AI 104
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WTU-Eval: A New Standard Benchmark Tool for Evaluating Large Language Models LLMs Usage Capabilities

Marktechpost

JULY 23, 2024

Large Language Models (LLMs) excel in various tasks, including text generation, translation, and summarization. However, a growing challenge within NLP is how these models can effectively interact with external tools to perform tasks beyond their inherent capabilities. If you like our work, you will love our newsletter.

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Large Language Models LLM ChatGPT NLP 112
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