Towards AI

APRIL 2, 2024

As we have discussed, there have been some signs of open-source AI (and AI startups) struggling to compete with the largest LLMs at closed-source AI companies. This is driven by the need to eventually monetize to fund the increasingly huge LLM training costs. This would be its 5th generation AI training cluster.

LLM 103

LLM OpenAI Explainable AI AI 103

Unite.AI

SEPTEMBER 20, 2024

The financial market, known for its complexity and rapid changes, greatly benefits from AI's capability to process vast amounts of data and provide clear, actionable insights. Palmyra-Fin , a domain-specific Large Language Model (LLM) , can potentially lead this transformation. Sonnet in the financial domain.

Machine Learning 130

Machine Learning Large Language Models NLP Deep Learning 130

The MLOps Blog

FEBRUARY 27, 2025

These biases are intentional and beneficial to enhance model performance. They guide the LLM to generate text in a specific tone, style, or adhering to a logical reasoning pattern, etc. For example, a recruitment LLM favoring male applicants due to biased training data reflects a harmful bias that requires correction.

LLM 64

LLM Large Language Models Explainability Machine Learning 64

IBM Journey to AI blog

JULY 17, 2023

Generative AI has the potential to significantly disrupt customer care, leveraging large language models (LLMs) and deep learning techniques designed to understand complex inquiries and offer to generate more human-like conversational responses. Watsonx.data allows scaling of AI workloads using customer data. Watsonx.ai

Generative AI 171

Generative AI Auto-complete Automation AI 171

AWS Machine Learning Blog

NOVEMBER 15, 2024

Robustness in AI systems makes sure model outputs are consistent and reliable under various conditions, including unexpected or adverse situations. A robust AI model maintains its functionality and delivers consistent and accurate outputs even when faced with incomplete or incorrect input data.

Responsible AI 106

Responsible AI Prompt Engineering Prompt Engineer AI 106

Unite.AI

OCTOBER 25, 2024

A key component is the Enterprise Workbench , an industry- and LLM-agnostic tool that eliminates AI “hallucinations” by providing a controlled environment for developing contextual solutions on platforms like Mithril and Dexter. Explainability & Transparency: The company develops localized and explainable AI systems.

Automation 147

Automation Explainability Responsible AI AI Automation 147

NVIDIA

DECEMBER 13, 2023

Federal Trade Commission called out concerns for the use of LLMs and other technology to simulate human behavior for deep fake videos and voice clones applied in imposter scams and financial fraud. How Is Generative AI Tackling Misuse and Fraud Detection? Fraud review has a powerful new tool.

Explainability 117

Explainability Neural Network Computer Vision Generative AI 117

ODSC - Open Data Science

SEPTEMBER 26, 2024

Using AI to Detect Anomalies in Robotics at the Edge Integrating AI-driven anomaly detection for edge robotics can transform countless industries by enhancing operational efficiency and improving safety. Where do explainable AI models come into play?

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Robotics Data Science Large Language Models Explainable AI 52

ODSC - Open Data Science

FEBRUARY 25, 2025

Generative AI TrackBuild the Future with GenAI Generative AI has captured the worlds attention with tools like ChatGPT, DALL-E, and Stable Diffusion revolutionizing how we create content and automate tasks. Whats Next in AI TrackExplore the Cutting-Edge Stay ahead of the curve with insights into the future of AI.

Data Scientist 52

Data Scientist Machine Learning Large Language Models ML Engineer 52

Snorkel AI

MARCH 19, 2024

In an ideal world, every company could easily and securely leverage its own proprietary data sets and assets in the cloud to train its own industry/sector/category-specific AI models. There are multiple approaches to responsibly provide a model with access to proprietary data, but pointing a model at raw data isn’t enough.

Data Scientist 52

Data Scientist LLM Chatbots AI 52

Snorkel AI

MARCH 19, 2024

In an ideal world, every company could easily and securely leverage its own proprietary data sets and assets in the cloud to train its own industry/sector/category-specific AI models. There are multiple approaches to responsibly provide a model with access to proprietary data, but pointing a model at raw data isn’t enough.

Data Scientist 52

Data Scientist AI AI Chatbots 52

Bugra Akyildiz

MAY 25, 2024

Articles OpenAI has announced GPT-4o , their new flagship AI model that can reason across audio, vision, and text in real-time. The blog post acknowledges that while GPT-4o represents a significant step forward, all AI models including this one have limitations in terms of biases, hallucinations, and lack of true understanding.

ChatGPT 59

ChatGPT Machine Learning Data Analysis OpenAI 59

The MLOps Blog

JUNE 27, 2023

Some model observability tools in the MLOps landscape in 2023 WhyLabs WhyLabs is an AI observability platform that helps data scientists and machine learning engineers monitor the health of their AI models and the data pipelines that fuel them. Evidently AI Evidently AI is an open-source ML model monitoring system.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

Unite.AI

MARCH 5, 2025

He currently serves as the Chief Executive Officer of Carrington Labs , a leading provider of explainable AI-powered credit risk scoring and lending solutions. How does your AI integrate open banking transaction data to provide a fuller picture of an applicants creditworthiness?

Explainability 147

Explainability Big Data AI Modeling Automation 147

IBM Journey to AI blog

FEBRUARY 9, 2024

iii] “AI models haven’t had that kind of data before. Those models will just have a better understanding of everything.” They make AI more explainable: the larger the model, the more difficult it is to pinpoint how and where it makes important decisions.

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AI AI Generative AI Artificial Intelligence 298