Sun.Nov 19, 2023

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20 Best ChatGPT Prompts for Start-Ups

Unite.AI

In the ever-evolving landscape of startups, leveraging cutting-edge tools like ChatGPT can be a game-changer. Startups, known for their agility and innovation, are always in search of methods to enhance efficiency, creativity, and competitiveness. ChatGPT, with its sophisticated capabilities, stands out as a valuable resource in this pursuit. In this blog post, we delve into 20 tailored ChatGPT prompts designed specifically for startups.

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How OpenAI so royally screwed up the Sam Altman firing

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New York CNN — OpenAI’s overseers worried that the company was making the technological equivalent of a nuclear bomb, and its caretaker, Sam Altman, was moving so fast that he risked a global catastrophe. So the board fired him. That may ultimately have been the logical solution.

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MIT Researchers Introduce MechGPT: A Language-Based Pioneer Bridging Scales, Disciplines, and Modalities in Mechanics and Materials Modeling

Marktechpost

Researchers confront a formidable challenge within the expansive domain of materials science—efficiently distilling essential insights from densely packed scientific texts. This intricate dance involves navigating complex content and generating coherent question-answer pairs that encapsulate the core of the material. The complexity lies in the substantial task of extracting pivotal information from the dense fabric of scientific texts, requiring researchers to craft meaningful question-answer pa

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How OpenAI’s Bizarre Structure Gave 4 People the Power to Fire Sam Altman

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Chaos at OpenAI has its root in an unusual corporate structure designed to protect humanity against rogue AI—some investors had expressed fears it could weaken the company.

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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This AI Paper from MIT Introduces a Novel Approach to Robotic Manipulation: Bridging the 2D-to-3D Gap with Distilled Feature Fields and Vision-Language Models

Marktechpost

A team of researchers from MIT and the Institute of AI and Fundamental Interactions (IAIFI) has introduced a groundbreaking framework for robotic manipulation, addressing the challenge of enabling robots to understand and manipulate objects in unpredictable and cluttered environments. The problem at hand is the need for robots to have a detailed understanding of 3D geometry, which is often lacking in 2D image features.

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Meet GO To Any Thing (GOAT): A Universal Navigation System that can Find Any Object Specified in Any Way- as an Image, Language, or a Category- in Completely Unseen Environments

Marktechpost

A team of researchers from the University of Illinois Urbana-Champaign, Carnegie Mellon University, Georgia Institute of Technology, University of California Berkeley, Meta AI Research, and Mistral AI has developed a universal navigation system called GO To Any Thing (GOAT). This system is designed for extended autonomous operation in home and warehouse environments.

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Dozens of Staffers Quit OpenAI After Sutskever Says Altman Won’t Return

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Dozens of OpenAI staffers internally announcedthey were quitting the company Sunday night, said a person with knowledge of the situation,after board director and chief scientist Ilya Sutskever told employees that fired CEO Sam Altman would not return. The moves could hamper the company's ability.

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Unboxing Weights, Biases, Loss: Hone in on Deep Learning

Towards AI

Last Updated on November 20, 2023 by Editorial Team Author(s): Mainak Mitra Originally published on Towards AI. Photo by Pietro Jeng on Unsplash Deep learning is a type of machine learning that utilizes layered neural networks to help computers learn from large amounts of data in an automated way, much like humans do. At a high level, deep learning models contain interconnected groups of neurons that are loosely modeled after the human brain.

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The AI safety debate is tearing Silicon Valley apart

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OpenAI’s leadership drama is the latest flare-up in the raging debate between AI’s safety-first technocrats and its libertarian techno-optimists. It’s not just OpenAI.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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A New AI Research Releases SWIM-IR: A Large-Scale Synthetic Multilingual Retrieval Dataset with 28 Million Training Pairs over 33 Languages

Marktechpost

Researchers from Google Research, Google DeepMind, and the University of Waterloo introduce SWIM-IR, a synthetic retrieval training dataset encompassing 33 languages, addressing the challenge of limited human-labeled training pairs in multilingual retrieval. Leveraging the SAP (summarize-then-ask prompting) method, SWIM-IR is constructed to enable synthetic fine-tuning of multilingual dense retrieval models without human supervision.

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China, Chips and Archery: Inside the Mystery AI Event in the Utah Mountains

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More than 100 AI executives and insiders, venture capitalists and government officials gathered at a Utah resort to discuss security issues and the …

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NVIDIA Researchers Introduce a GPU Accelerated Weighted Finite State Transducer (WFST) Beam Search Decoder Compatible with Current CTC Models

Marktechpost

In recent times, with Artificial Intelligence becoming extremely popular, the field of Automated Speech Recognition (ASR) has seen tremendous progress. It has changed the face of voice-activated technologies and human-computer interaction. With ASR, machines can translate spoken language into text, which is essential for a variety of applications, including virtual assistants and transcription services.

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AI is now accessible to everyone: 3 things parents should teach their kids

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It is almost a year since ChatGPT burst onto the scene. Generative artificial intelligence has become incredibly assessable to everyone, including young people.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Semantic Hearing: A Machine Learning-Based Novel Capability for Hearable Devices to Focus on or Ignore Specific Sounds in Real Environments while Maintaining Spatial Awareness

Marktechpost

Researchers from the University of Washington and Microsoft have introduced a cutting-edge concept: noise-canceling headphones with semantic hearing capabilities driven by advanced machine learning algorithms. This innovation empowers wearers to cherry-pick the sounds they wish to hear while eliminating all other auditory distractions. The team elaborated on the central hurdle that propelled their innovative endeavor.

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18 ChatGPT Prompts To Spark Innovation At Work

Flipboard

Artificial intelligence has technically been in existence for a very long time. We've used AI for our GPS, Alexa, and Siri. But now, it's adoption has been supercharged and received mass media attention all over the world with the arrival of ChatGPT. Why?

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What is Transfer Learning in Deep Learning?

Towards AI

Last Updated on November 20, 2023 by Editorial Team Author(s): Amit Chauhan Originally published on Towards AI. Pre-trained models in machine and deep learningPhoto by Arnold Francisca on Unsplash In simple terms, it is a technique to use a trained model on the dataset that is run on a new, different dataset. The core idea is to take the knowledge of the trained model and apply it to a new but related application.

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5 New Ways to Build A.I. Into Your Company's Core

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Bringing A.I. into your organization? Try these unconventional ideas. In the evolving landscape of AI, sticking strictly to the traditional playbook is unlikely to yield the best results. Integrating new technology like AI into your business operations is often met with resistance.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Zhejiang University Researchers Propose UrbanGIRAFFE to Tackle Controllable 3D Aware Image Synthesis for Challenging Urban Scenes

Marktechpost

UrbanGIRAFFE, an approach proposed by researchers from Zhejiang University for photorealistic image synthesis, is introduced for controllable camera pose and scene contents. Addressing challenges in generating urban scenes for free camera viewpoint control and scene editing, the model employs a compositional and controllable strategy, utilizing a coarse 3D panoptic prior.

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Could Sam Altman really be unfired?

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If Sam Altman comes back as OpenAI CEO, he can thank venture capitalists. On Saturday night, the Wall Street Journal reported that investors were trying to bring Sam Altman back as CEO of OpenAI. Maybe you saw that headline and thought, Wait a minute. wasn’t he fired. one day earlier?

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Prompting GPT-4 for On-The-Fly Multi-Visualization Dashboards

Towards AI

Last Updated on November 20, 2023 by Editorial Team Author(s): John Loewen, PhD Originally published on Towards AI. A zero-code map-and-charts dashboard for global literacy dataDall-E 2 generated choropleth map image Recently, GPT-4 has gone through a positive overhaul of its data visualization capabilities. The new power of this update is the simplicity of creating data visualizations from complex datasets on-the-fly using basic prompt engineering.

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Microsoft's AI Transformation: From Software Giant To AI Powerhouse

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At Ignite 2023, Microsoft unveiled a comprehensive vision for its end-to-end AI stack, showcasing innovations that span from cloud infrastructure to AI-driven applications and security measures. For Microsoft and its ecosystem, this year's Ignite conference proved to be exceptional and different.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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2023 Ultimate Guide to LLMOps: Free Training from Beginner to Expert

Towards AI

Last Updated on November 20, 2023 by Editorial Team Author(s): Louis Bouchard Originally published on Towards AI. Master LLMOps now. A complete guide. Follow my newsletter to get weekly updates on my projects! Welcome back to my channel, today, I want to reiterate something I did a few years ago. In 2021 I shared a guide for learning machine learning with lots of amazing resources to get into the field and improve.

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Sam Altman's Response to Being Pushed Out of OpenAI Is a Brilliant Example of Social Intelligence

Flipboard

One of the most interesting twists in a shocking turn of events is this response. Until this weekend, the biggest tech story of the past decade was the extraordinary growth of ChatGPT.

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Developing Your First Neural Network in PyTorch

Towards AI

Last Updated on November 20, 2023 by Editorial Team Author(s): Rashida Nasrin Sucky Originally published on Towards AI. A Complete Step-by-Step Process for BeginnersPhoto by M.T ElGassier on Unsplash I have been working and writing tutorials on deep learning space for a while now, and I focused mostly on TensorFlow. But Py Torch is also another very widely used deep learning package out there.

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30+ Custom Instructions to help you build custom GPTs

Flipboard

If you are building new custom GPTs for your own use water perhaps sell on the upcoming new GPT store which will soon be launched by OpenAI.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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FastAPI Template for LLM SaaS Part 1?—?Auth and File Upload

Towards AI

Last Updated on November 20, 2023 by Editorial Team Author(s): Euclidean AI Originally published on Towards AI. FastAPI has been getting a lot of traction in the Python backend developer community lately, thanks to its simplicity, asynchronous nature, and native Swagger UI. Among those popular LLM open-source projects on GitHub, Quivr is one of the best and has lots of stars (24.2k at the time of writing) and well-structured code base.

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Sam Altman arrives back at OpenAI HQ as investors push for his reinstatement - SiliconANGLE

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Some of OpenAI LP’s most influential investors are pushing for the company to reinstate ousted Chief Executive Sam Altman, who’s sudden dismissal Friday afternoon sent shockwaves through the tech

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Researchers from the University of Toronto Unveil a Surprising Redundancy in Large Materials Datasets and the Power of Informative Data for Enhanced Machine Learning Performance

Marktechpost

With the advent of AI, its use is being felt in all spheres of our lives. AI is finding its application in all walks of life. But AI needs data for the training. AI’s effectiveness relies heavily on data availability for training purposes. Conventionally, achieving accuracy in training AI models has been linked to the availability of substantial amounts of data.