Marktechpost

SEPTEMBER 27, 2024

Researchers at Microsoft Research Asia introduced a novel method that categorizes user queries into four distinct levels based on the complexity and type of external data required. The categorization helps tailor the model’s approach to retrieving and processing data, ensuring it selects the most relevant information for a given task.

Categorization 117

Categorization Large Language Models LLM ML 117

AssemblyAI

SEPTEMBER 29, 2023

It would take weeks to filter and categorize all of the information to identify common issues or patterns. By using Audio Intelligence, LLMs and frameworks, companies can build on top of ASR to create tools that categorize content, increase searchability, aid in podcast or video editing, and intelligently synthesize this information.

Categorization 264

Categorization Auto-complete AI Modeling Large Language Models 264

Unite.AI

JULY 9, 2024

LLM watermarking, which integrates imperceptible yet detectable signals within model outputs to identify text generated by LLMs, is vital for preventing the misuse of large language models. Conversely, the Christ Family alters the sampling process during LLM text generation, embedding a watermark by changing how tokens are selected.

LLM 130

LLM Large Language Models Algorithm Automation 130

Marktechpost

MAY 14, 2024

A research team from Technion – Israel Institute of Technology and Google Research has introduced SliCK, a novel framework specifically designed to examine integrating new knowledge within LLMs. The study’s findings demonstrate the effectiveness of the SliCK categorization in enhancing the fine-tuning process.

Categorization 103

Categorization Computational Linguistics Large Language Models Machine Learning 103

Explosion

MAY 17, 2023

We want to aggregate it, link it, filter it, categorize it, generate it and correct it. I don’t want to undersell how impactful LLMs are for this sort of use-case. You can give an LLM a group of comments and ask it to summarize the texts or identify key themes. You can’t pass that straight into an LLM — it’s much too expensive.

LLM 135

LLM NLP Large Language Models OpenAI 135

AWS Machine Learning Blog

FEBRUARY 20, 2025

LLM linguistics Although appropriate context can be retrieved from enterprise data sources, the underlying LLM manages the linguistics and fluency. Verisks system demonstrates a complex AI setup, where multiple components interact and frequently call on the LLM to provide user responses.

Generative AI 102

Generative AI LLM Auto-classification Categorization 102

AWS Machine Learning Blog

NOVEMBER 15, 2024

the router would direct the query to a text-based RAG that retrieves relevant documents and uses an LLM to generate an answer based on textual information. For instance, analyzing large tables might require prompting the LLM to generate Python or SQL and running it, rather than passing the tabular data to the LLM.

LLM 112

LLM Data Analysis Python Generative AI 112

Marktechpost

MAY 1, 2024

A robust test set evaluates FRR for cyberattack helpfulness risk, revealing LLMs’ ability to handle borderline requests while rejecting the most unsafe ones. CyberSecEval 2 categorizes prompt injection assessment tests into logic-violating and security-violating types, covering a broad range of injection strategies.

Machine Learning 120

Machine Learning LLM Large Language Models Categorization 120

Unite.AI

SEPTEMBER 15, 2023

It's no secret that AI, specifically Large Language Models (LLMs), can occasionally produce inaccurate or even potentially harmful outputs. Unpacking the veryLLM Toolkit At its core, the veryLLM toolkit allows for a deeper comprehension of each LLM-generated sentence. However, with the introduction of veryLLM, under the Apache 2.0

LLM 222

LLM Large Language Models Categorization Data Scientist 222

Marktechpost

FEBRUARY 15, 2025

Researchers evaluated anthropomorphic behaviors in AI systems using a multi-turn framework in which a User LLM interacted with a Target LLM across eight scenarios in four domains: friendship, life coaching, career development, and general planning. Interactions between 1,101 participants and Gemini 1.5

AI Chatbots 84

AI Chatbots Chatbots Conversational AI LLM 84

IBM Journey to AI blog

SEPTEMBER 3, 2024

Hay argues that part of the problem is that the media often conflates gen AI with a narrower application of LLM-powered chatbots such as ChatGPT, which might indeed not be equipped to solve every problem that enterprises face. This scenario highlights how an LLM is a useful part of solving a business problem, but not the entire solution.

Generative AI 308

Generative AI LLM Large Language Models AI 308

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

Unite.AI

MARCH 13, 2025

A large language model (LLM) is used to generate 3840 prompts from these seed actions, and the prompts are then used to synthesize videos via the various frameworks being trialed. Above: A text prompt is generated from an action using an LLM and used to create a video with a text-to-video generator.

AI 219

AI AI LLM Computer Vision 219

Marktechpost

FEBRUARY 23, 2025

Researchers from the University College London, University of WisconsinMadison, University of Oxford, Meta, and other institutes have introduced a new framework and benchmark for evaluating and developing LLM agents in AI research. It comprises four key components: Agents, Environment, Datasets, and Tasks.

AI Researcher 91

AI Researcher AI Research Software Engineer AI 91

Marktechpost

MARCH 22, 2024

Yet, comparing these attacks proves challenging due to variations in evaluation criteria and the absence of readily available source code, exacerbating efforts to identify and counter LLM vulnerabilities. Human design involves manually crafting prompts to exploit model weaknesses, such as role-playing or scenario crafting.

Machine Learning 132

Machine Learning LLM Natural Language Processing Categorization 132

Marktechpost

AUGUST 31, 2024

This approach aims to balance latency and interpretability by combining a small classification model, specifically a small language model (SLM), with a downstream LLM module called a “constrained reasoner.” ” The SLM performs initial hallucination detection, while the LLM module explains the detected hallucinations.

Large Language Models 126

Large Language Models Categorization LLM Explainability 126

Marktechpost

JANUARY 12, 2025

Experiments proceed iteratively, with results categorized as improvements, maintenance, or declines. 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

Artificial Corner

JULY 30, 2023

In this world of complex terminologies, someone who wants to explain Large Language Models (LLMs) to some non-tech guy is a difficult task. So that’s why I tried in this article to explain LLM in simple or to say general language. No training examples are needed in LLM Development but it’s needed in Traditional Development.

Large Language Models 98

Large Language Models LLM Natural Language Processing Deep Learning 98

Unite.AI

MARCH 19, 2025

It automatically qualifies, categorizes, and nurtures leads, ensuring timely follow-ups and personalized communication. Otherwise, Relevance AI would just be another LLM! Meanwhile, Relevance AI offers a broader range of functionalities such as custom AI agent creation and multiple LLM support.

Auto-complete 130

Auto-complete Automation AI AI 130

Marktechpost

SEPTEMBER 20, 2024

This limitation poses a significant hurdle for AI-driven applications requiring structured LLM outputs integrated into their data streams. Researchers have explored various approaches to mitigate the challenge of format-constrained generation in LLMs.

LLM 114

LLM NLP Large Language Models Natural Language Processing 114

Marktechpost

JULY 10, 2024

Meet Lytix , the LLM stack enhancer that integrates testing, insights, and end-to-end analytics with little coding modifications. Here’s how Lytix assists with YC-bot deployment and performance tracking in production: Keeping expenses low Lytix was concerned about the cost per call as the pipeline contains multiple hefty LLM calls.

LLM 107

LLM Natural Language Processing Categorization AI 107

Unite.AI

SEPTEMBER 13, 2023

Industry Anomaly Detection and Large Vision Language Models Existing IAD frameworks can be categorized into two categories. These approaches indicate that LLM frameworks might have some applications for visual tasks. Finally, the model feeds the embeddings and original image information to the LLM. Reconstruction-based IAD.

Convolutional Neural Networks 282

Convolutional Neural Networks LLM Neural Network Large Language Models 282

AWS Machine Learning Blog

DECEMBER 23, 2024

Lettrias in-house team manually assessed the answers with a detailed evaluation grid, categorizing results as correct, partially correct (acceptable or not), or incorrect. Implementing such process requires teams to develop specific skills in topics such as graph modeling, graph queries, prompt engineering, or LLM workflow maintenance.

Generative AI 120

Generative AI Natural Language Processing Prompt Engineer Prompt Engineering 120

Marktechpost

JULY 7, 2024

These issues underscore the need for continued development of diverse benchmarks to assess LLM reliability and identify potential fairness concerns. The benchmark incorporates 11 diverse indicators for approximately 200 countries, generating 2,225 questions per LLM. times higher than North America. and most models near 0.4.

LLM 107

LLM Large Language Models Categorization Automation 107

Marktechpost

NOVEMBER 23, 2024

Traditional large language model (LLM) agent systems face significant challenges when deployed in real-world scenarios due to their limited flexibility and adaptability. Researchers from the University of Maryland and Adobe introduce DynaSaur : an LLM agent framework that enables the dynamic creation and composition of actions online.

LLM 106

LLM Python Large Language Models Categorization 106

Marktechpost

SEPTEMBER 25, 2023

Older work was significantly more task-centric compared to LLM-centric work. Second, there needs to be comprehensive evaluations or metrics of LLM performance. Existing benchmarks frequently use simple objective metrics like word overlap to gauge how well the content produced by the machine is categorizing information.

Large Language Models 126

Large Language Models LLM Natural Language Processing Categorization 126

Marktechpost

NOVEMBER 19, 2024

Building a secure environment is essential to ensure the safe and reliable deployment of LLMs in various applications. Current methods to limit these LLM vulnerabilities include adversarial testing, red-teaming exercises, and manual prompt engineering.

LLM 82

LLM Prompt Engineer Prompt Engineering Large Language Models 82

Marktechpost

FEBRUARY 13, 2025

TTS can be categorized into Internal TTS, which encourages step-by-step reasoning through extended Chain-of-Thought (CoT) processes, and External TTS, which enhances performance using sampling or search-based methods with fixed models. PRMs, which outperform Output Reward Models (ORMs), significantly refine LLM-generated outputs.

LLM 79

LLM Categorization Conversational AI ML 79

AWS Machine Learning Blog

FEBRUARY 25, 2025

As AIDAs interactions with humans proliferated, a pressing need emerged to establish a coherent system for categorizing these diverse exchanges. The main reason for this categorization was to develop distinct pipelines that could more effectively address various types of requests.

Chatbots 70

Chatbots Categorization LLM Algorithm 70

Marktechpost

JULY 19, 2024

Therefore, text-to-SQL research can benefit from the unique opportunities, enhancements, and solutions that can be brought about by integrating LLM-based implementation, such as improved query accuracy, better handling of complex queries, and increased system robustness. Join our Telegram Channel and LinkedIn Gr oup.

LLM 103

LLM Neural Network Large Language Models Natural Language Processing 103

Marktechpost

APRIL 30, 2024

Previous studies have proposed that LLMs demonstrate considerable generalization abilities, allowing them to apply learned knowledge to new tasks not encountered during training, a phenomenon known as zero-shot learning. However, fine-tuning remains crucial to optimize LLM performance on robust user datasets and tasks.

Large Language Models 131

Large Language Models Categorization Algorithm Natural Language Processing 131

Marktechpost

APRIL 2, 2025

Salesforce AI introduces BingoGuard, an LLM-based moderation system designed to address the inadequacies of binary classification by predicting both binary safety labels and detailed severity levels.

LLM 84

LLM Large Language Models Categorization AI 84

AWS Machine Learning Blog

MARCH 18, 2025

Sonnet on Amazon Bedrock as our LLM to generate SQL queries for user inputs. This retrieved data is used as context, combined with the original prompt, to create an expanded prompt that is passed to the LLM. Solution overview This solution is primarily based on the following services: Foundational model We use Anthropics Claude 3.5

LLM 90

LLM Metadata Large Language Models Python 90

Towards AI

JANUARY 23, 2025

As you already know, we recently launched our 8-hour Generative AI Primer course, a programming language-agnostic 1-day LLM Bootcamp designed for developers like you. Finally, it discusses PII masking for cloud-based LLM usage when local deployment isnt feasible. Author(s): Towards AI Editorial Team Originally published on Towards AI.

Neural Network 93

Neural Network Computer Vision LLM AI 93

Marktechpost

AUGUST 10, 2024

The framework also provided insights into why tasks were not completed, with the termination reasons categorized as False Completion, Reach Step Limit, and Invalid Action. For instance, multi-agent structures were more likely to produce invalid actions or incorrectly complete tasks due to potential miscommunication between agents.

Python 117

Python LLM Categorization Artificial Intelligence 117

Marktechpost

JULY 7, 2023

They considered all the projects that fit these criteria: Projects must have been created eight months ago or less (approx November 2022, to June 2023, at the time of this paper’s publication) Projects are related to the topics: LLM, ChatGPT, Open-AI, GPT-3.5, or GPT-4 Projects must have at least 3,000 stars on GitHub.

LLM 107

LLM Explainability Large Language Models Machine Learning 107

Unite.AI

MARCH 15, 2024

Moreover, the search engine uses LLM combined with live data to answer questions and summarize information based on the top sources. Exa.ai (formerly Metaphor.ai) Exa is an AI search engine that uses a Large Language Model (LLM). It uses advanced AI and semantic search technologies to transform online search.

AI 301

AI AI OpenAI Chatbots 301