Towards AI

JANUARY 24, 2024

Last Updated on January 25, 2024 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, Meta’s AI strategy was in focus, with Mark Zuckerberg boasting of Meta’s GPU hoard and outlining his open-source-focused AI vision.

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Large Language Models LLM AI AI 100

Unite.AI

FEBRUARY 15, 2024

This collaboration is crucial for aligning our AI strategy with the specific needs of our customers, which are constantly evolving. Given the rapid pace of advancements in AI, I dedicate a substantial amount of time to staying abreast of the latest developments and trends in the field.

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Unite.AI

MARCH 14, 2024

This underscores the critical role of data in training more sophisticated and accurate AI models. Finally, AI strategy and training data constitute the largest allocations within AI budgets, signifying the strategic emphasis on laying a robust foundation for AI initiatives through comprehensive planning and quality data resources.

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AI Weekly

JULY 20, 2023

vox.com ChatGPT Out-scores Medical Students on Complex Clinical Care Exam Questions A new study shows AI's capabilities at analyzing medical text and offering diagnoses — and forces a rethink of medical education. techtarget.com Applied use cases AI love: It's complicated Movies have hinted at humans falling for their AI chatbots.

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AI Impacts

JULY 20, 2023

I collected my favorite public pieces of research on AI strategy, governance, and forecasting from 2023 so far. May) Current approaches to building general-purpose AI systems tend to produce systems with both beneficial and harmful capabilities. Perhaps the most important question in AI strategy is what should AI labs do?

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AI Weekly

JUNE 29, 2023

mit.edu Ethics AI ChatGPT Responds to UN’s Proposed Code of Conduct to Monitor AI Achieving a global consensus on the specifics of the code of conduct might be challenging, as different countries and stakeholders may have differing views on AI development, applications, and regulation.

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Algorithm ChatGPT Convolutional Neural Networks Robotics 177

NVIDIA

SEPTEMBER 25, 2023

In the wake of ChatGPT, every company is trying to figure out its AI strategy, work that quickly raises the question: What about security? Security now needs to cover the AI development lifecycle. Some may feel overwhelmed at the prospect of securing new technology.

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Neural Network AI AI Machine Learning 125

IBM Journey to AI blog

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. Ethical and privacy considerations : As conversational AI becomes more advanced and widespread, ethical and privacy concerns will become more prominent.

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IBM Journey to AI blog

APRIL 18, 2024

The skills gap in gen AI development is a significant hurdle. Startups offering tools that simplify in-house gen AI development will likely see faster adoption due to the difficulty of acquiring the right talent within enterprises.

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Flipboard

FEBRUARY 9, 2023

Some have gone even farther, arguing there’s a “ generative AI arms race between the US and China ,” in which Microsoft-backed OpenAI’s insanely popular ChatGPT should be interpreted as the first salvo. The bad case — and I think this is important to say — is like lights out for all of us.

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AI AI OpenAI ChatGPT 129

Snorkel AI

JUNE 12, 2023

Snorkel Flow is used by customers including five of the top ten US banks, healthcare providers like Memorial Sloan Kettering, and other Fortune 500 companies and government agencies to label data and train or fine-tune models 10-100x+ faster, using our unique programmatic approach to data labeling and development. Footnotes (1) Brants et al.

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Data Platform Large Language Models Software Development ChatGPT 145

Snorkel AI

JUNE 12, 2023

Snorkel Flow is used by customers including five of the top ten US banks, healthcare providers like Memorial Sloan Kettering, and other Fortune 500 companies and government agencies to label data and train or fine-tune models 10-100x+ faster, using our unique programmatic approach to data labeling and development. Footnotes (1) Brants et al.

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Data Platform Large Language Models Software Development ChatGPT 141

Pickl AI

NOVEMBER 3, 2023

To find trends and patterns traders are now actively using trading and AI strategies like statistical analysis, indicators, and chart patterns. How Can Traders Effectively Incorporate AI Into Their Trading Strategies? It takes into account historical data, current news analysis, and economic indicators.

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Kavita Ganesan

JUNE 28, 2022

In fact, Gartner’s research shows that only 53% of AI initiatives make it from prototype to production.

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Snorkel AI

APRIL 20, 2023

According to another survey seen and reported on by Business Insider, 75% of respondents working at banks with more than $100 billion in assets were currently implementing AI strategies. Instead, leading, AI-first organizations are adopting a data-centric approach to AI development.

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ChatGPT Conversational AI Data Scientist AI 52

Snorkel AI

APRIL 20, 2023

According to another survey seen and reported on by Business Insider, 75% of respondents working at banks with more than $100 billion in assets were currently implementing AI strategies. Instead, leading, AI-first organizations are adopting a data-centric approach to AI development.

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ChatGPT Conversational AI Data Scientist AI 52

ODSC - Open Data Science

MARCH 5, 2024

REGISTER NOW Investment Players As you can imagine, venture capital is playing a crucial role in fueling AI startups, with investors eager to back companies that promise to disrupt traditional industries. Worldwide, these entities are recognizing AI’s strategic importance, launching national AI strategies, and funding research.

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DataRobot Blog

FEBRUARY 15, 2023

Teams can also build AI apps without writing code and collaborate within a single system of record, setting up user permissions and governance. This simplifies the AI development process, freeing up data scientists to focus on more strategic tasks.

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IBM Journey to AI blog

AUGUST 15, 2023

AI is being implemented in key workflows like talent acquisition and retention, customer service, and application modernization, especially paired with other technologies like virtual agents or chatbots. This includes adopting governance tools and incorporating governance into workflows to maintain consistent standards.

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Marktechpost

MARCH 22, 2024

Despite all the hype around AI and Data, many organizations (outside of the software industry) struggle to implement a successful AI strategy. Most of these projects led to substantial ROI for these organizations; some have even shaped their company’s future. Github link This article was originally published on Taipy.

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Kavita Ganesan

NOVEMBER 8, 2022

So, almost anyone can perform the AI “development” For example, if you’re performing a classification task, you can prime the model on the types of expected categories. So it essentially democratizes AI development and makes it less time-consuming. Imagine developing a sentiment classifier with just 5 prompts.

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Large Language Models ML Neural Network Data Scientist 52