Marktechpost

JULY 4, 2023

For the unaware, ChatGPT is a large language model (LLM) trained by OpenAI to respond to different questions and generate information on an extensive range of topics. It can translate multiple languages, generate unique and creative user-specific content, summarize long text paragraphs, etc.

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Towards AI

APRIL 10, 2023

Photo by Unsplash.com The launch of ChatGPT has sparked significant interest in generative AI, and people are becoming more familiar with the ins and outs of large language models. It’s worth noting that prompt engineering plays a critical role in the success of training such models.

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AI News

NOVEMBER 15, 2023

The hype surrounding generative AI and the potential of large language models (LLMs), spearheaded by OpenAI’s ChatGPT, appeared at one stage to be practically insurmountable. He’ll say anything that will make him seem clever,” McLoone tells AI News. “It As McLoone explains, it is all a question of purpose.

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Viso.ai

FEBRUARY 21, 2024

The term ‘prompt’ has been thrown around quite a lot since the introduction of large language models (LLMs). For the end-user, these prompts are part of the LLM interface, which they use to interact with the model. The quality and performance of the LLM depend on the quality of the prompt it is given.

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Heartbeat

APRIL 10, 2023

It is able to write different believable phishing messages and even generate malicious code blocks, sometimes producing output that amounted to exploitation, as well as often well-intentioned results. At this point, a new concept emerged: “Prompt Engineering.” What is Prompt Engineering?

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ODSC - Open Data Science

JANUARY 29, 2024

The role of prompt engineer has attracted massive interest ever since Business Insider released an article last spring titled “ AI ‘Prompt Engineer Jobs: $375k Salary, No Tech Backgrund Required.” It turns out that the role of a Prompt Engineer is not simply typing questions into a prompt window.

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Marktechpost

MAY 3, 2024

In today’s era, learning ChatGPT is essential for mastering the capabilities of large language models in various fields. Prompt Engineering for ChatGPT This course teaches how to effectively work with large language models, like ChatGPT, by applying prompt engineering.

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Marktechpost

APRIL 28, 2024

The popularity of AI has skyrocketed in the past few years, with new avenues being opened up with the rise in the use of large language models (LLMs). Having knowledge of AI has now become quite essential as recruiters are actively looking for candidates with a strong foundation in the same.

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IBM Journey to AI blog

SEPTEMBER 28, 2023

According to a recent IBV study , 64% of surveyed CEOs face pressure to accelerate adoption of generative AI, and 60% lack a consistent, enterprise-wide method for implementing it. These enhancements have been guided by IBM’s fundamental strategic considerations that AI should be open, trusted, targeted and empowering.

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Marktechpost

MAY 30, 2024

Introduction to Generative AI This introductory microlearning course explains Generative AI, its applications, and its differences from traditional machine learning. It also includes guidance on using Google Tools to develop your own Generative AI applications.

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Mlearning.ai

JANUARY 17, 2024

Each section of this story comprises a discussion of the topic plus a curated list of resources, sometimes containing sites with more lists of resources: 20+: What is Generative AI? 95x: Generative AI history 600+: Key Technological Concepts 2,350+: Models & Mediums — Text, Image, Video, Sound, Code, etc.

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John Snow Labs

OCTOBER 16, 2023

The recent NLP Summit served as a vibrant platform for experts to delve into the many opportunities and also challenges presented by large language models (LLMs). As the market for generative AI solutions is poised to hit $51.8 As the market for generative AI solutions is poised to hit $51.8

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AWS Machine Learning Blog

NOVEMBER 15, 2023

Prompt engineering has become an essential skill for anyone working with large language models (LLMs) to generate high-quality and relevant texts. Although text prompt engineering has been widely discussed, visual prompt engineering is an emerging field that requires attention.

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Marktechpost

APRIL 1, 2024

Ever since its inception, ChatGPT has taken the world by storm, marking the beginning of the era of generative AI. Although large language models (LLMs) had been developed prior to the launch of ChatGPT, the latter’s ease of accessibility and user-friendly interface took the adoption of LLM to a new level.

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ChatGPT Large Language Models Prompt Engineer Prompt Engineering 98

IBM Journey to AI blog

OCTOBER 25, 2023

Implementing generative AI can seem like a chicken-and-egg conundrum. In a recent IBM Institute for Business Value survey, 64% of CEOs said they needed to modernize apps before they could use generative AI. From our perspective, the debate over architecture is over.

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Marktechpost

APRIL 16, 2024

Quick Start Guide to Large Language Models This book guides how to work with, integrate, and deploy LLMs to solve real-world problems. The book covers the inner workings of LLMs and provides sample codes for working with models like GPT-4, BERT, T5, LLaMA, etc.

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AWS Machine Learning Blog

NOVEMBER 14, 2023

Recent discoveries in the field of generative AI make it possible to produce textual content at an unprecedented pace with the help of large language models (LLMs). LLMs are generative AI text models with over 1 billion parameters, and they are facilitated in the synthesis of high-quality text.

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Marktechpost

MAY 29, 2024

Their courses on various AI topics empower individuals with the knowledge and skills to harness AI’s potential effectively. Getting Started with Deep Learning This course teaches the fundamentals of deep learning through hands-on exercises in computer vision and natural language processing.

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Bugra Akyildiz

MARCH 30, 2024

Before going further, taking a step back to explain the key concepts in Mamba: State: Mamba maintains a state that captures the essential information about the past that is relevant for predicting the next element in the sequence. wrote an article on DSPy, popular framework that makes it easy to compose generative AI applications.

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AWS Machine Learning Blog

JULY 26, 2023

Generative AI Foundations on AWS is a new technical deep dive course that gives you the conceptual fundamentals, practical advice, and hands-on guidance to pre-train, fine-tune, and deploy state-of-the-art foundation models on AWS and beyond. You’ll then learn about picking the right foundation model to suit your use case.

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AWS Machine Learning Blog

MAY 21, 2024

For several years, we have been actively using machine learning and artificial intelligence (AI) to improve our digital publishing workflow and to deliver a relevant and personalized experience to our readers. These applications are a focus point for our generative AI efforts.

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AI News

MARCH 7, 2024

Indeed, as Anthropic prompt engineer Alex Albert pointed out, during the testing phase of Claude 3 Opus, the most potent LLM (large language model) variant, the model exhibited signs of awareness that it was being evaluated. The company says it has also achieved ‘near human’ proficiency in various tasks.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Now all you need is some guidance on generative AI and machine learning (ML) sessions to attend at this twelfth edition of re:Invent. And although generative AI has appeared in previous events, this year we’re taking it to the next level. Use the “Generative AI” tag as you are browsing the session catalog to find them.

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ODSC - Open Data Science

SEPTEMBER 20, 2023

We’re in an age where generative AI models like ChatGPT, Midjourney, and Google’s Bard are pushing the boundaries of what machines can do with human operators. So it’s no surprise that the ability to fine-tune prompts effectively has become a valuable skill.

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Towards AI

JANUARY 30, 2024

I was just playing around with the chatGPT when I tried the following prompt. The model gave a wrong output to a basic arithmetic problem. This wasn’t a surprise (at least for me), as large language models are not designed for arithmetic problem-solving. This is beneficial in debugging the large language models.

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Large Language Models Prompt Engineer Prompt Engineering Explainability 98

Flipboard

JUNE 13, 2023

Prompt: “A robot helping a software engineer develop code.” ” Generative AI is already changing the way software engineers do their jobs. We caught up with engineering leaders at six Seattle tech companies to learn about how they’re using generative AI and how it’s changing their jobs.

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Marktechpost

JULY 10, 2023

the digital image), but arises from the interaction of humans with the AI and the resulting practices that evolve from this interaction (e.g., “prompt engineering” and curation). The paper argues that human creativity in text-to-image synthesis lies not in the end product (i.e.,

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Towards AI

FEBRUARY 15, 2023

Last Updated on February 15, 2023 by Editorial Team What happened this week in AI by Louis This week was rather chaotic in the world of large language models (LLMs) and “Generative AI” as large tech companies scrambled to display their technology in the wake of ChatGPT’s success.

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Unite.AI

SEPTEMBER 4, 2023

Large Language Models (LLMs) capable of complex reasoning tasks have shown promise in specialized domains like programming and creative writing. Developed by Meta with its partnership with Microsoft, this open-source large language model aims to redefine the realms of generative AI and natural language understanding.

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AWS Machine Learning Blog

NOVEMBER 6, 2023

In this post, we explain how to use the power of generative AI to reduce the effort and improve the accuracy of creating call summaries and call dispositions. The good news is that automating and solving the summarization challenge is now possible through generative AI.

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AWS Machine Learning Blog

MAY 9, 2024

In this post, we describe the development of the customer support process in FAST incorporating generative AI, the data, the architecture, and the evaluation of the results. Conversational AI assistants are rapidly transforming customer and employee support.

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ODSC - Open Data Science

DECEMBER 21, 2023

Conditional Probability and Bayes’ Theorem Simply Explained Here, we will cover the two core ideas in Bayesian statistics: conditional probability and Bayes’ theorem. Google AI Introduces PixelLLM Researchers from Google Research and UC San Diego have introduced PixelLLM, a sophisticated vision-language model.

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LLM Prompt Engineer Prompt Engineering Data Science 98

O'Reilly Media

NOVEMBER 28, 2023

Generative AI has been the biggest technology story of 2023. And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. Many AI adopters are still in the early stages.

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Towards AI

SEPTEMBER 22, 2023

However, emerging large language models have significantly changed the world. Nowadays, generative AI makes advanced AI capability much more accessible to end users, while most academic researchers are not able to research new foundation models because training a new model is too expensive.

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ODSC - Open Data Science

OCTOBER 4, 2023

LLMs and Generative AI have dominated both the industry and everyday life this year. At the conference, you’ll find hands-on training sessions, workshops, and talks on LLMs , Generative AI , and prompt engineering. Towards Explainable and Language-Agnostic LLMs Walid S. Sign me up!

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Large Language Models LLM Prompt Engineer Prompt Engineering 52

ODSC - Open Data Science

FEBRUARY 6, 2024

Large Language Models are everywhere these days. Stay at the forefront of increasingly ubiquitous technology with the leading AI training conference, ODSC East this April 23rd-25th in Boston. Check out some of the LLM-focused training sessions, workshops, and talks you’ll find at the conference.

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Marktechpost

JULY 20, 2023

Natural language processing (NLP) has seen a paradigm shift in recent years, with the advent of Large Language Models (LLMs) that outperform formerly relatively tiny Language Models (LMs) like GPT-2 and T5 Raffel et al. on a variety of NLP tasks. RL provides a simple way to bridge this gap.

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