Unite.AI

OCTOBER 26, 2024

Have you ever wished you had an extra set of hands to help write, edit, or debug code ? Imagine if, instead of staring at that blank page or troubleshooting errors, you had a tool that could draft, refine, and even improve your work alongside you! This is the promise of ChatGPT-4o Canvas : a collaborative workspace for writing and coding that feels like you're working with a personal, knowledgeable assistant.

ChatGPT 189

ChatGPT Natural Language Processing AI Tools AI 189

Analytics Vidhya

OCTOBER 26, 2024

Imagine if you could automate the tedious task of analyzing earnings reports, extracting key insights, and making informed recommendations—all without lifting a finger. In this article, we’ll walk you through how to create a multi-agent system using OpenAI’s Swarm framework, designed to handle these exact tasks. You’ll learn how to set up and orchestrate three […] The post Building an Earnings Report Agent with Swarm Framework appeared first on Analytics Vidhya.

Automation 175

Automation Generative AI AI AI 175

Eugene Yan

OCTOBER 26, 2024

Look at and label your data, build and evaluate your LLM-evaluator, and optimize it against your labels.

Automation 159

Automation LLM 159

Marktechpost

OCTOBER 26, 2024

In the rapidly evolving world of finance, the demand for models that provide robust insights has never been greater. Traditional financial analysis requires an understanding of complex relationships, macroeconomic indicators, and financial nuances. Despite progress in AI, most language models struggle with the intricate aspects of financial data. They often lack the ability to fully comprehend sector-specific terminology, advanced mathematical constructs, and the depth of domain-specific knowled

Inference Engine 130

Inference Engine NLP ML AI Modeling 130

Speaker: David Warren and Kevin O'Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

Flipboard

OCTOBER 26, 2024

Artificial intelligence (AI) can be trained to see details in images that escape the human eye.

Neural Network 123

Neural Network Artificial Intelligence Artificial Intelligence AI 123

Extreme Tech

OCTOBER 26, 2024

NASA announced that the Sun has reached solar maximum. Here's what you need to know.

122

122

Marktechpost

OCTOBER 26, 2024

Artificial intelligence (AI) is making significant strides in natural language processing (NLP), focusing on enhancing models that can accurately interpret and generate human language. Researchers are working to develop models that grasp complex linguistic structures and generate coherent, contextually relevant responses over extended dialogues. Advancements in this area are vital for applications such as automated customer service, content creation, and machine translation, where language preci

NLP 115

NLP Inference Engine Natural Language Processing BERT 115

SAS Software

OCTOBER 26, 2024

They say nothing in life is certain other than death and taxes, but there something else I’ve found I can count on from experience: sending out invites for a party on social media only to receive a few affirmative responses and a whole slew of “maybe”. I know my friends [.] The post How to handle RSVP ‘maybe’s’ appeared first on SAS Blogs.

Data Science 52

Data Science 52

Marktechpost

OCTOBER 26, 2024

Large Language Models (LLMs) have shown remarkable potential in solving complex real-world problems, from function calls to embodied planning and code generation. A critical capability for LLM agents is decomposing complex problems into executable subtasks through workflows, which serve as intermediate states to improve debugging and interpretability.

Large Language Models 115

Large Language Models LLM Inference Engine Algorithm 115

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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

Machine Learning Research at Apple

OCTOBER 26, 2024

Manufacturing quality audits are pivotal for ensuring high product standards in mass production environments. Traditional auditing processes, however, are labor-intensive and heavily reliant on human expertise, posing challenges in maintaining transparency, accountability, and continuous improvement across complex global supply chains. To address these challenges, we propose a smart audit system empowered by large language models (LLMs).

LLM 52

LLM Large Language Models 52

Marktechpost

OCTOBER 26, 2024

Vision Language Models (VLMs) have demonstrated remarkable capabilities in generating human-like text in response to images, with notable examples including GPT-4, Gemini, PaLiGemma, LLaVA, and Llama 3 Vision models. However, these models frequently generate hallucinated content that lacks proper grounding in the reference images, highlighting a critical flaw in their output reliability.

AI Researcher 109

AI Researcher AI Research Data Scarcity Inference Engine 109

Marktechpost

OCTOBER 26, 2024

Machine learning has considerably improved in evaluating large language models (LLMs) for their mathematical reasoning abilities, especially in handling complex arithmetic and deductive reasoning tasks. The field focuses on testing LLMs’ capacity to generalize and solve new types of problems, especially as arithmetic problems increase in complexity.

Inference Engine 104

Inference Engine LLM Large Language Models Machine Learning 104

Marktechpost

OCTOBER 26, 2024

Large language models (LLMs) sometimes learn the things that we don’t want them to learn and understand knowledge. It’s important to find ways to remove or adjust this knowledge to keep AI accurate, precise, and in control. However, editing or “unlearning” specific knowledge in these models is very tough. The usual methods to do this often end up affecting other information or general information in the model, which can affect its overall abilities.

Inference Engine 100

Inference Engine Large Language Models AI AI 100

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

Marktechpost

OCTOBER 26, 2024

Large Language Models (LLMs) have emerged as crucial tools for handling intricate information-seeking queries due to techniques that improve both retrieval and response generation. Retrieval-augmented generation (RAG) is a well-known framework in this area that has drawn a lot of interest since it can produce responses that are more accurate and pertinent to the context.

Inference Engine 64

Inference Engine LLM Large Language Models Machine Learning 64

Marktechpost

OCTOBER 26, 2024

Despite rapid advancements in language technology, significant gaps in representation persist for many languages. Most progress in natural language processing (NLP) has focused on well-resourced languages like English, leaving many others underrepresented. This imbalance means that only a small portion of the world’s population can fully benefit from AI tools.

Inference Engine 105

Inference Engine Natural Language Processing NLP AI 105