Towards AI

AUGUST 31, 2023

Last Updated on September 1, 2023 by Editorial Team Author(s): Louis Bouchard Originally published on Towards AI. An introduction to explainable AI This member-only story is on us. Originally published on louisbouchard.ai, read it 2 days before on my blog! You are a… Read the full blog for free on Medium.

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BAIR

FEBRUARY 17, 2024

Please provide this image (and any other images and GIFs) in the blog to the BAIR Blog editors directly. The `static/blog` directory is a location on the blog server which permanently stores the images/GIFs in BAIR Blog posts. Is this paradigm here to stay as models improve? Why Use Compound AI Systems?

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IBM Journey to AI blog

MAY 31, 2024

The new era of generative AI has spurred the exploration of AI use cases to enhance productivity, improve customer service, increase efficiency and scale IT modernization. But the rates of exploration of AI use cases and deployment of new AI-powered tools have been slower in the public sector because of potential risks.

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databricks

JANUARY 31, 2024

Today, we're excited to announce that AI model sharing is available in both Databricks Delta Sharing and on the Databricks Marketplace. With Delta.

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IBM Journey to AI blog

MAY 1, 2024

AI tools help users address queries and resolve alerts by using supply chain data, and natural language processing helps analysts access inventory, order and shipment data for decision-making. Generative AI, with its ability to autonomously generate solutions to complex problems, will revolutionize every aspect of the supply chain landscape.

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Marktechpost

MAY 29, 2024

The Mistral AI Team has announced the release of its groundbreaking code generation model, Codestral-22B. This contributes toward a new direction and benchmark of AI for software development. Codestral is an open-weight generative AI model explicitly crafted for code generation tasks.

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IBM Journey to AI blog

FEBRUARY 13, 2024

Generative AI ( artificial intelligence ) promises a similar leap in productivity and the emergence of new modes of working and creating. Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.”

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Marktechpost

APRIL 1, 2024

Google AI introduced SEEDS to address the challenge of generating accurate and computationally efficient ensemble weather forecasts. To address this, the Google researchers propose SEEDS, a generative AI model based on denoising diffusion probabilistic models. Check out the Paper and Google Blog.

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Towards AI

JANUARY 4, 2024

Last Updated on January 5, 2024 by Editorial Team Author(s): Manika Nagpal Originally published on Towards AI. Google’s launch of Gemini, proclaimed as a groundbreaking AI model and their most potent yet, signals a continued surge in AI advancements. But as experts looked closer, they found issues.

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Analytics Vidhya

MAY 17, 2024

This blog post introduces a pioneering approach that liberates and not only liberates but also maximizes the utility of data from PDFs. […] The post Transforming PDF Images into Interactive Dialogues with AI appeared first on Analytics Vidhya.

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Towards AI

JANUARY 4, 2024

Last Updated on January 5, 2024 by Editorial Team Author(s): Manika Nagpal Originally published on Towards AI. Google’s launch of Gemini, proclaimed as a groundbreaking AI model and their most potent yet, signals a continued surge in AI advancements. But as experts looked closer, they found issues.

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IBM Journey to AI blog

FEBRUARY 22, 2024

Artificial intelligence (AI) is transforming society, including the very character of national security. However, the roadblocks to scaling, adopting, and realizing the full potential of AI in the DoD are similar to those in the private sector. These are table stakes for the DoD or any government agency.

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Analytics Vidhya

APRIL 25, 2024

This innovative blog introduces a user-friendly interface where complex tasks are simplified into plain language queries. Explore the fusion of natural language processing and advanced AI models, transforming intricate tasks into straightforward conversations.

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IBM Journey to AI blog

APRIL 26, 2024

As large language models (LLMs) have entered the common vernacular, people have discovered how to use apps that access them. Modern AI tools can generate, create, summarize, translate, classify and even converse. Tools in the generative AI domain allow us to generate responses to prompts after learning from existing artifacts.

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Towards AI

MARCH 22, 2024

Last Updated on March 25, 2024 by Editorial Team Author(s): John Loewen, PhD Originally published on Towards AI. Isn’t AI just great for this sort of analysis? And who’s model is crunching the data? Some feel AI can solve all our problems, robots can do everything for us — they may take over the world but it’s worth the risk!

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AI Weekly

APRIL 11, 2024

We explore how AI can transform roles and boost performance across business functions, customer operations and software development. The Microsoft AI London outpost will focus on advancing state-of-the-art language models, supporting infrastructure, and tooling for foundation models. No legacy process is safe.

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IBM Journey to AI blog

JANUARY 9, 2024

In 2024, the initial cultural fascination with early generative AI yields tangible business results. According to McKinsey & Company , these AI applications have the potential to contribute between USD 2.6 This trend signals a move toward more efficient and personalized AI-driven business solutions. trillion and 4.4

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Great Learning

JUNE 16, 2023

In the realm of artificial intelligence (AI), generative models have emerged as powerful tools capable of creating new and imaginative content. By leveraging sophisticated algorithms and deep learning techniques, these models enable machines to generate realistic images, texts, music, and even videos that mimic human creativity.

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IBM Journey to AI blog

APRIL 22, 2024

AI can be a force for good, but it might also lead to environmental and sustainability concerns. That means making more sustainable choices about how models are built, trained, and used, where processing occurs, what infrastructure is used, and how open and collaborative we are along the way.”

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Towards AI

NOVEMBER 3, 2023

Last Updated on November 5, 2023 by Editorial Team Author(s): Ignacio de Gregorio Originally published on Towards AI. Google Research, in collaboration with Cornell University, has announced RealFill, an image inpainting and outpainting model with shocking results. Join thousands of data leaders on the AI newsletter.

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IBM Journey to AI blog

FEBRUARY 26, 2024

In January of 2024, Meta CEO Mark Zuckerberg announced in an Instagram video that Meta AI had recently begun training Llama 3. This latest generation of the LLaMa family of large language models (LLMs) follows the Llama 1 models (originally stylized as “LLaMA”) released in February 2023 and Llama 2 models released in July.

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IBM Journey to AI blog

MARCH 6, 2024

Software development is one arena where we are already seeing significant impacts from generative AI tools. A McKinsey study claims that software developers can complete coding tasks up to twice as fast with generative AI. Generative AI is just one tool in the toolbelt.

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IBM Journey to AI blog

APRIL 9, 2024

Through a partnership spanning more than 25 years, IBM has helped the Augusta National Golf Club capture, analyze, distribute and use data to bring fans closer to the action, culminating in the AI-powered Masters digital experience and mobile app.

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Unite.AI

JULY 25, 2023

Production-deployed AI models need a robust and continuous performance evaluation mechanism. This is where an AI feedback loop can be applied to ensure consistent model performance. But, with the meteoric rise of Generative AI , AI model training has become anomalous and error-prone.

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IBM Journey to AI blog

APRIL 15, 2024

An inaccurate AI prediction in a marketing campaign is a minor nuisance, but an inaccurate AI prediction on a manufacturing shopfloor can be fatal. The solution lies in generative AI Let’s explore some of the capabilities or use cases where we see the most traction: 1. Manufacturers use summarization in different ways.

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IBM Journey to AI blog

APRIL 11, 2024

The global AI governance landscape is complex and rapidly evolving. The global governance landscape As of this writing, the OECD Policy Observatory lists 668 national AI governance initiatives from 69 countries, territories and the EU. Compliance with official policies through auditing tools and other measures is merely the final step.

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AI Weekly

MARCH 28, 2024

Powered by global.ntt In the News Top Artificial Intelligence Books to Read in 2024 Artificial Intelligence (AI) has been making significant strides over the past few years, with the emergence of Large Language Models (LLMs) marking a major milestone in its growth. artificialintelligence-news.com Can AI extend healthcare to all?

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AssemblyAI

MAY 10, 2024

Build A Talking AI with LLAMA 3 (Python tutorial) : Build an AI that listens and talks, using LLAMA 3 and ElevenLabs for Text-to-Speech. Read more>> AI tools for business: Top 6 considerations before building with AI models and LLMs : Thinking about building with AI models or LLMs?

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databricks

APRIL 16, 2024

Introduction In this blog post we dive into inference with DBRX, the open state-of-the-art large language model (LLM) created by Databricks (see Introducing.

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IBM Journey to AI blog

JANUARY 25, 2024

We expect technologies such as artificial intelligence (AI) to not lie to us, to not discriminate, and to be safe for us and our children to use. Yet many AI creators are currently facing backlash for the biases, inaccuracies and problematic data practices being exposed in their models. How are you making your model explainable?

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Marktechpost

MARCH 3, 2024

The field of Artificial Intelligence (AI) is significantly pushing the envelope of technology, thanks to the amazing capabilities of Large Language Models (LLMs). These models based on Natural Language Processing, Understanding, and Generation have demonstrated exceptional skills and potential in almost every industry.

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IBM Journey to AI blog

SEPTEMBER 13, 2023

Space AI leader Ubotica Technologies is partnering with IBM to leverage IBM cloud infrastructure and watsonx.ai With a single click, mutual customers will be able to securely deploy their AI models directly to satellites that use the Ubotica CogniSAT TM platform.

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Towards AI

NOVEMBER 9, 2023

Last Updated on November 10, 2023 by Editorial Team Author(s): Ignacio de Gregorio Originally published on Towards AI. Therefore, it’s only natural to see hearing as an indispensable requirement for AI to become the sought-after superior ‘being’ that some people predict it will become. Sadly, current AI systems suck at hearing.

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IBM Journey to AI blog

SEPTEMBER 18, 2023

Enterprise adoption of AI has doubled over the past five years, with CEOs today stating that they face significant pressure from investors, creditors and lenders to accelerate adoption of generative AI. Many enterprises have been reserved to go “all in” on AI, as certain unknowns within the technology erode inherent trust.

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AI News

MARCH 6, 2024

Elon Musk, the billionaire CEO of Tesla and SpaceX , allegedly wanted the AI research company OpenAI to either merge with Tesla or give him full control of the organisation. Elon wanted us to merge with Tesla or he wanted full control,” wrote OpenAI in their blog post. He said he’d be supportive of us finding our own path.”

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AI Weekly

FEBRUARY 1, 2024

Powered by global.ntt In the News AI Companies Lose $190 Billion After Dismal Financial Reports Following disappointing quarterly earnings results by Microsoft and Google owner Alphabet, Reuters reports that AI-related companies lost a whopping $190 billion in stock market value. medium.com Generative A.I.’s medium.com Generative A.I.’s

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ODSC - Open Data Science

DECEMBER 7, 2023

Google DeepMind CEO and Co-Founder Demis Hassabis and Sundar Pichai , CEO of Google both introduced Gemini, the tech giant’s highly anticipated AI model that promises to reshape the landscape of artificial intelligence. The blog states that the model is the result of extensive collaboration among teams at Google.

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