Unite.AI

FEBRUARY 23, 2024

Prompt engineering is the art and science of crafting inputs (or “prompts”) to effectively guide and interact with generative AI models, particularly large language models (LLMs) like ChatGPT. But what exactly is prompt engineering, and why has it become such a buzzword in the tech community?

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ODSC - Open Data Science

SEPTEMBER 20, 2023

Using Graphs for Feature Engineering, Prompt Fine-Tuning for Generative AI, and Confident Data Science GraphReduce: Using Graphs for Feature Engineering Abstractions This tutorial demonstrates an example feature engineering process on an e-commerce schema and how GraphReduce deals with the complexity of feature engineering on the relational schema.

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Unite.AI

OCTOBER 18, 2023

This shift can be attributed to a combination of commercial interests and concerns about the potential misuse of advanced AI models. On the other hand, Meta AI has positioned itself as a proponent of a more open approach, albeit with certain caveats, as evidenced by their LLaMa model family.

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Defined.ai blog

MARCH 2, 2023

As such, for all the wonder and delight that generative AI models like Midjourney and ChatGPT have lately evoked, they’ve also induced no small amount of anxiety. Does their ability to replicate cogent and internally consistent text, to remix images, and to reproduce or suggest code completions mean these AI dogmas were wrong?

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AWS Machine Learning Blog

JANUARY 26, 2024

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.

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NVIDIA

MAY 12, 2024

Generative AI is taking root at national and corporate labs, accelerating high-performance computing for business and science. Researchers at Sandia National Laboratories aim to automatically generate code in Kokkos , a parallel programming language designed for use across many of the world’s largest supercomputers.

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NVIDIA

MARCH 27, 2024

Editor’s note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and which showcases new hardware, software, tools and accelerations for RTX PC users. AI performance typically doubles compared with running the application on other frameworks.

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NVIDIA

JUNE 14, 2023

When California skies turned orange in the wake of devastating wildfires, a startup fused computer vision and generative AI to fight back. So, in a pilot project, Chooch linked its fire detection software to the camera network. The software is opening new doors and expanding the use cases it can address.

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Flipboard

APRIL 27, 2023

Investors continue to pump money into generative AI tech. Case in point, Replit, an IDE startup developing a code-generating AI-powered tool called Ghostwriter, this week raised nearly $100 million ($97.4 “AI has already brought that future closer,” Masad continued. million) at a $1.16

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IBM Journey to AI blog

SEPTEMBER 19, 2023

Using generative artificial intelligence (AI) solutions to produce computer code helps streamline the software development process and makes it easier for developers of all skill levels to write code. How does generative AI code generation work?

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TheSequence

AUGUST 13, 2023

Created Using Midjourney Next Week in The Sequence: Edge 317: Our series about generative AI techniques starts exploring in-context learning in LLMs. We review two papers from Stanford Univervisy that explore the emergence of ICL and the GPTCache framework to enable caching in foundation model s. AI Enterprise 4.0:

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TheSequence

JULY 9, 2023

📝 Editorial: “The Other” Enterprise Generative AI Platforms When we think about enterprise generative AI platforms, we immediately gravitate towards tech incumbents such as Microsoft, Amazon or Google or extremely well-financed startups such as OpenAI Anthropic or Cohere. The race is certain on!

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Flipboard

SEPTEMBER 19, 2023

Its tools give companies a way to safely build large language models, including conversational, copilot, and autonomous agents. The idea is to provide enterprises with security controls, allowing them to use AI models without compromising data security. ” Engineers building large language model apps can also use LangChain.

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Unite.AI

MARCH 13, 2024

While LLMs excel at pattern recognition and generating solutions based on learned patterns, they may fall short when confronted with unique or novel challenges that differ significantly from its training data. Sometimes these models may even “ hallucinate ” generating false information or incorrect code.

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Marktechpost

APRIL 10, 2024

Last year, Meta unveiled the first-generation MTIA, a custom-designed AI inference accelerator tailored to the company’s deep learning recommendation models. The next-generation MTIA chip represents a leap forward in custom silicon development designed to address Meta’s unique AI workloads.

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AWS Machine Learning Blog

NOVEMBER 7, 2023

With RAG, foundation models become adaptable experts that evolve as your knowledge base grows. Today, we are excited to unveil three generative AI demos, licensed under MIT-0 license : Amazon Kendra with foundational LLM – Utilizes the deep search capabilities of Amazon Kendra combined with the expansive knowledge of LLMs.

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Unite.AI

JANUARY 25, 2024

Surge in Generative AI and GPTs: A New Focus in Tech Development The tech world is witnessing a seismic shift in focus, as evidenced by the O'Reilly Report, which highlights a staggering 3,600% surge in interest in Generative Pre-trained Transformers (GPT) and generative AI.

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Snorkel AI

AUGUST 16, 2023

Experts have named generative AI as the most transformative technology of the last decade. GenAI has—and will continue to—alter our relationship with AI as it pushes computers into domains previously reserved for humans, such as writing and art creation. So, what is generative AI, how does it work and why does it matter?

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Snorkel AI

AUGUST 16, 2023

Experts have named generative AI as the most transformative technology of the last decade. GenAI has—and will continue to—alter our relationship with AI as it pushes computers into domains previously reserved for humans, such as writing and art creation. So, what is generative AI, how does it work and why does it matter?

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Marktechpost

AUGUST 27, 2023

In the ever-evolving landscape of software development, the need for efficient and productive coding tools has never been greater. Developers face the challenge of writing robust, well-documented code while navigating the complexities of debugging and code completion.

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IBM Journey to AI blog

AUGUST 11, 2023

Once defined, ML engineers can begin building the ML data pipeline: Create and execute the decision process—Data science teams work with software developers to create algorithms that can process data, search for patterns and “guess” what might come next. How MLOps will be used within the organization.

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IBM Journey to AI blog

DECEMBER 8, 2023

The AI and data platform layer AI models have long played an important part in vehicle functionalities like ADAS/AD. Some OEMs, such as Honda , use AI for knowledge management to deliver safer and more personalized automobiles. Finally, IBM Security® X-Force® Red provides specific automotive testing offerings.

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NVIDIA

MARCH 13, 2024

LLMs have since been used to help developers write code and scientists to drive drug discovery and vaccine development. But the AI models that power those functions are computationally intensive. Coding assistants were among the first LLM-powered applications to point toward the AI-assisted future of software development.

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Unite.AI

SEPTEMBER 27, 2023

Generative AI refers to models that can generate new data samples that are similar to the input data. The success of ChatGPT opened many opportunities across industries, inspiring enterprises to design their own large language models. The finance sector, driven by data, is now even more data-intensive than ever.

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Marktechpost

NOVEMBER 3, 2023

In today’s fast-paced world of software development, one of the key challenges enterprises face is the need to code quickly and accurately. Developers often grapple with complex coding tasks, and finding practical solutions can be a time-consuming process. for AI model development, watsonx.

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Unite.AI

DECEMBER 5, 2023

With this new wave of AI, there is a new category of machine learning engineers who are focused only on “prompt engineering.” ” This role is different from traditional software development, but it has arisen from the need for new ways to work with AI models.

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NVIDIA

APRIL 24, 2024

To address these challenges, manufacturers are embracing digitalization and virtual factories, powered by technologies like digital twins, the Universal Scene Description (OpenUSD) ecosystem and generative AI , that enable new possibilities from planning to operations. OpenUSD’s core superpower is flexible data modeling.

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NVIDIA

JANUARY 29, 2024

A team of 10 researchers are working on the project, funded in part by an NVIDIA Academic Hardware Grant , including engineers, computer scientists, orthopedic surgeons, radiologists and software developers. DGX enabled advanced computations on more than 20 years’ worth of historical data for our fine-tuned clinical AI model.”

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Towards AI

AUGUST 31, 2023

Prompting, with respect to LLMs and Generative AI, refers to the act of formatting the commands you need to provide the model to receive the desired output. A good prompt can generate great results whereas a bad prompt can spoil the experience.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

When ML models deployed on instances receive API calls from a large number of clients, a random distribution of requests can work very well when there is not a lot of variability in your requests and responses. But in systems with generative AI workloads, requests and responses can be extremely variable.

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IBM Journey to AI blog

DECEMBER 15, 2023

The diversity and accessibility of open-source AI allow for a broad set of beneficial use cases, like real-time fraud protection, medical image analysis, personalized recommendations and customized learning. This availability makes open-source projects and AI models popular with developers, researchers and organizations.

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NVIDIA

NOVEMBER 8, 2023

In Hong Kong, a different set of doctors leverage generative AI to discover new cures for patients. Research and National Compute Partnerships NVIDIA has advanced AI research partnerships with several APEC economies.

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NVIDIA

SEPTEMBER 21, 2023

NVIDIA RTX AI tech demonstrates a staggering 10x faster speeds in distinct workflows when juxtaposed against its competitors. NVIDIA provides various AI tools, apps and software development kits designed specifically for creators. What Are the Emerging AI Applications for RTX PCs? Why Choose Desktop AI?

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ODSC - Open Data Science

JANUARY 10, 2024

The AI Paradigm Shift: Under the Hood of a Large Language Models Valentina Alto | Azure Specialist — Data and Artificial Intelligence | Microsoft Develop an understanding of Generative AI and Large Language Models, including the architecture behind them, their functioning, and how to leverage their unique conversational capabilities.

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Marktechpost

SEPTEMBER 26, 2023

An AI Copilot is an artificial intelligence system that assists developers, programmers, or other professionals in various tasks related to software development, coding, or content creation. It is a user’s own AI copilot, trained specifically for their product and their requirement.

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NVIDIA

NOVEMBER 8, 2023

In Hong Kong, a different set of doctors leverage generative AI to discover new cures for patients. Research and National Compute Partnerships NVIDIA has advanced AI research partnerships with several APEC economies.

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IBM Journey to AI blog

AUGUST 1, 2023

As enterprises embrace generative AI to drive innovation, the combination of IBM’s AI stack, industry expertise and infrastructure can help them on their journeys. IBM also recently unveiled watsonx , our next-generation AI and data platform to help enterprises train, validate and deploy AI models.

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