IBM Journey to AI blog

MAY 8, 2023

Risk and limitations of AI The risk associated with the adoption of AI in insurance can be separated broadly into two categories—technological and usage. Technological risk—transparency The black-box characteristic of AI systems, especially generative AI, renders the decision process of AI algorithms hard to understand.

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Unite.AI

JANUARY 12, 2024

Rumored projects like OpenAI's Q* hint at combining conversational AI with reinforcement learning. Competitions also continue heating up between companies like Google, Meta, Anthropic and Cohere vying to push boundaries in responsible AI development. Enhancing user trust via explainable AI also remains vital.

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Towards AI

MARCH 6, 2025

Youll build projects, use LLMs as coding assistants, and develop the problem-solving mindset that AI development demands. Heres what youll get: Learn Python by building real AI applications Every concept is tied to a practical, real-world use case. In this course, you wont just go through Python fundamentals.

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AWS Machine Learning Blog

FEBRUARY 20, 2025

The company is committed to ethical and responsible AI development with human oversight and transparency. Verisk is using generative AI to enhance operational efficiencies and profitability for insurance clients while adhering to its ethical AI principles.

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Unite.AI

APRIL 12, 2024

By training LLMs to seamlessly resolve references across three key domains – conversational, on-screen, and background – ReALM aims to create a truly intelligent digital companion that feels less like a robotic voice assistant and more like an extension of your own thought processes.

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Large Language Models AI AI LLM 147

NVIDIA

DECEMBER 11, 2023

Databricks offers an industry-leading data platform for machine learning, while Cohere provides enterprise automation through AI. and Utilidata, each contributing unique solutions in drug discovery, conversational AI and smart electricity grids, respectively. Other notable companies are Recursion, Kore.ai

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Defined.ai blog

JANUARY 31, 2023

Incremental improvement with Exponential Tools These are all vital questions, but they’re also too big to answer without time and extensive societal discourse—never mind that if AI’s exponential progress trend continues, the AI developments of today will be completely superseded by the AI developments of literally tomorrow.

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Snorkel AI

APRIL 20, 2023

While banks have been investing in AI to detect fraud for years, Cornerstone Advisors’ “What’s Going on in Banking 2023” report says that banks are currently making big bets on conversational AI. This is especially true for complex, high-value use cases such as conversational AI, fraud detection, anti-money laundering, and more.

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ChatGPT Conversational AI Data Scientist Explainability 52

Snorkel AI

APRIL 20, 2023

While banks have been investing in AI to detect fraud for years, Cornerstone Advisors’ “What’s Going on in Banking 2023” report says that banks are currently making big bets on conversational AI. This is especially true for complex, high-value use cases such as conversational AI, fraud detection, anti-money laundering, and more.

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ChatGPT Conversational AI Data Scientist Explainability 52

NVIDIA

FEBRUARY 11, 2025

Physical AI development teams are using NVIDIA Cosmos world foundation models, a suite of pre-trained autoregressive and diffusion models trained on 20 million hours of driving and robotics data, with the NVIDIA Omniverse platform to generate massive amounts of controllable, physics-based synthetic data for physical AI.

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AWS Machine Learning Blog

MAY 9, 2024

The company is committed to ethical and responsible AI development, with human oversight and transparency. Verisk is using generative artificial intelligence (AI) to enhance operational efficiencies and profitability for insurance clients while adhering to its ethical AI principles.

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Insight Engine Generative AI LLM AI 129

Snorkel AI

AUGUST 24, 2023

Build better AI-fueled complaint handling with Snorkel AI The Snorkel Flow data-centric AI platform helps businesses create and launch AI applications for their specific needs by enabling them to label data accurately and at scale. Model explainability.

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Snorkel AI

AUGUST 24, 2023

Build better AI-fueled complaint handling with Snorkel AI The Snorkel Flow data-centric AI platform helps businesses create and launch AI applications for their specific needs by enabling them to label data accurately and at scale. Model explainability.

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Snorkel AI

AUGUST 24, 2023

Build better AI-fueled complaint handling with Snorkel AI The Snorkel Flow data-centric AI platform helps businesses create and launch AI applications for their specific needs by enabling them to label data accurately and at scale. Model explainability.

Large Language Models 52

Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 52

Snorkel AI

AUGUST 24, 2023

Build better AI-fueled complaint handling with Snorkel AI The Snorkel Flow data-centric AI platform helps businesses create and launch AI applications for their specific needs by enabling them to label data accurately and at scale. Model explainability.

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Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 52

PyImageSearch

MARCH 4, 2024

It signifies a potential shift in how we interact with AI and information: Conversational AI Elevated: The potential for truly human-like conversation gets a serious boost. For instance, if you’re primarily focused on conversational AI and general text generation, Gemini 1.0 Pro might be a perfect fit.

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Topbots

JULY 29, 2024

Introduction to Generative AI by Google Cloud Level: Beginner Duration: Specialization with 4 courses (approximately 4 hours total) Cost: Free Instructor: Google Cloud Training Team Audience: This course is ideal for individuals looking to deepen their understanding of generative AI and large language models.

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Topbots

SEPTEMBER 11, 2023

AI development is a highly collaborative enterprise. In traditional software development, you work with a relatively clear dichotomy consisting of the backend and the frontend components. Well, in AI products, you can pause this fight and use both to your advantage.

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AI News

APRIL 25, 2024

The current incarnation of Pryon has aimed to confront AI’s ethical quandaries through responsible design focused on critical infrastructure and high-stakes use cases. “[We We wanted to] create something purposely hardened for more critical infrastructure, essential workers, and more serious pursuits,” Jablokov explained.

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IBM Journey to AI blog

SEPTEMBER 3, 2024

These systems inadvertently learn biases that might be present in the training data and exhibited in the machine learning (ML) algorithms and deep learning models that underpin AI development. Those learned biases might be perpetuated during the deployment of AI, resulting in skewed outcomes.

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Unite.AI

NOVEMBER 20, 2023

For the “Code Mentor” you might test it with queries like “Explain the concept of dynamic programming” or “Guide me through implementing a binary search tree.” This is done through a link, making collaboration easy and promoting a community-oriented approach to AI development.

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Unite.AI

SEPTEMBER 4, 2023

One that stresses an open-source approach as the backbone of AI development, particularly in the generative AI space. OpenAI has provided an insightful illustration that explains the SFT and RLHF methodologies employed in InstructGPT.

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IBM Journey to AI blog

FEBRUARY 9, 2024

They make AI more explainable: the larger the model, the more difficult it is to pinpoint how and where it makes important decisions. Explainable AI is essential to understanding, improving and trusting the output of AI systems.

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