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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Unite.AI

AUGUST 8, 2023

That is Generative AI. Microsoft is already discontinuing its Cortana app this month to prioritize newer Generative AI innovations, like Bing Chat. billion R&D budget to generative AI, as indicated by CEO Tim Cook. To understand this, think of a sentence: “Unite AI Publish AI and Robotics news.”

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Marktechpost

MAY 30, 2024

Google plays a crucial role in advancing AI by developing cutting-edge technologies and tools like TensorFlow, Vertex AI, and BERT. Its AI courses provide valuable knowledge and hands-on experience, helping learners build and optimize AI models, understand advanced AI concepts, and apply AI solutions to real-world problems.

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Unite.AI

SEPTEMBER 25, 2023

However, as technology advanced, so did the complexity and capabilities of AI music generators, paving the way for deep learning and Natural Language Processing (NLP) to play pivotal roles in this tech. Today platforms like Spotify are leveraging AI to fine-tune their users' listening experiences.

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Unite.AI

DECEMBER 27, 2023

Generative AI is an evolving field that has experienced significant growth and progress in 2023. Generative AI has tremendous potential to revolutionize various industries, such as healthcare, manufacturing, media, and entertainment, by enabling the creation of innovative products, services, and experiences.

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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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Unite.AI

AUGUST 28, 2023

With advancements in deep learning, natural language processing (NLP), and AI, we are in a time period where AI agents could form a significant portion of the global workforce. These AI agents, transcending chatbots and voice assistants, are shaping a new paradigm for both industries and our daily lives.

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Flipboard

DECEMBER 6, 2023

In this post, we focus on the BERT extractive summarizer. BERT extractive summarizer The BERT extractive summarizer is a type of extractive summarization model that uses the BERT language model to extract the most important sentences from a text. It works by first embedding the sentences in the text using BERT.

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Snorkel AI

MARCH 26, 2025

Closely observed and managed, the practice can help scalably evaluate and monitor the performance of Generative AI applications on specialized tasks. AI judges must be scalable yet cost-effective , unbiased yet adaptable , and reliable yet explainable. Addressing these issues is critical to ensuring trustworthy AI evaluations.

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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. It provides codes for working with various models, such as GPT-4, BERT, T5, etc., It also teaches how to write prompts for better results. and explains how they work.

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Marktechpost

JUNE 24, 2024

Impact of ChatGPT on Human Skills: The rapid emergence of ChatGPT, a highly advanced conversational AI model developed by OpenAI, has generated significant interest and debate across both scientific and business communities.

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Marktechpost

DECEMBER 19, 2023

The study employs pre-trained CLIP models in experiments across Playhouse and AndroidEnv, exploring encoder architectures such as Normalizer-Free Networks, Swin, and BERT for language encoding in tasks like Find, Lift, and Pick and Place. The study examines the role of prompt engineering in VLM reward performance.

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Marktechpost

NOVEMBER 26, 2023

While pre-training a model like BERT from scratch is possible, using an existing model like bert-large-cased · Hugging Face is often more practical, except for specialized cases. Perhaps the easiest point of entry for adapting models is prompt engineering. If you like our work, you will love our newsletter.

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Towards AI

DECEMBER 28, 2023

Last Updated on December 30, 2023 by Editorial Team Author(s): Sudhanshu Sharma Originally published on Towards AI. In 2023, we witnessed the substantial transformation of AI, marking it as the ‘year of AI.’ Implement a complete RL solution and understand how to apply AI tools to… www.coursera.org 8.

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Towards AI

JANUARY 30, 2024

Author(s): Abhinav Kimothi Originally published on Towards AI. Being new to the world of Generative AI, one can feel a little overwhelmed by the jargon. Designed to be general-purpose, providing a foundation for various AI applications. I’ve been asked many times about common terms used in this field. Examples: GPT 3.5,

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Marktechpost

APRIL 16, 2024

The book covers the inner workings of LLMs and provides sample codes for working with models like GPT-4, BERT, T5, LLaMA, etc. Introduction to Generative AI “Introduction to Generative AI” covers the fundamentals of generative AI and how to use it safely and effectively.

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Unite.AI

JANUARY 23, 2024

Large language models (LLMs) have exploded in popularity over the last few years, revolutionizing natural language processing and AI. From chatbots to search engines to creative writing aids, LLMs are powering cutting-edge applications across industries. Prompt engineering is crucial to steering LLMs effectively.

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AWS Machine Learning Blog

JUNE 25, 2024

Amazon Bedrock , a fully managed service designed to facilitate the integration of LLMs into enterprise applications, offers a choice of high-performing LLMs from leading artificial intelligence (AI) companies like Anthropic, Mistral AI, Meta, and Amazon through a single API. Particularly beneficial if you don’t have much labeled data.

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Artificial Corner

JULY 30, 2023

Large language Models also intersect with Generative Ai, it can perform a variety of Natural Language Processing tasks, including generating and classifying text, question answering, and translating text from one language to another language, and Document summarization. RoBERTa (Robustly Optimized BERT Approach) — developed by Facebook AI.

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ODSC - Open Data Science

MARCH 10, 2025

Sessions on convolutional neural networks (CNNs) and recurrent neural networks (RNNs) started gaining popularity, marking the beginning of data sciences shift toward AI-driven methods. Simultaneously, concerns around ethical AI , bias , and fairness led to more conversations on Responsible AI.

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Marktechpost

SEPTEMBER 15, 2024

The pre-train and fine-tune paradigm, exemplified by models like ELMo and BERT, has evolved into prompt-based reasoning used by the GPT family. The persistence of smaller models challenges assumptions about the dominance of large-scale AI. Two main approaches are model cascading and model routing.

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AWS Machine Learning Blog

JUNE 27, 2024

This is a guest post by Arash Sadrieh, Tahir Azim, and Tengfui Xue from NinjaTech AI. NinjaTech AI’s mission is to make everyone more productive by taking care of time-consuming complex tasks with fast and affordable artificial intelligence (AI) agents. MyNinja.ai

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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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Mlearning.ai

JULY 24, 2023

In Generative AI projects, there are five distinct stages in the lifecycle, centred around a Large Language Model 1️⃣ Pre-training : This involves building an LLM from scratch. The likes of BERT, GPT4, Llama 2, have undergone pre-training on a large corpus of data. The model generates a completion on the prompt.

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Snorkel AI

AUGUST 17, 2023

Users can easily constrain an LLM’s output with clever prompt engineering. This is a piece of text that includes the portions of the prompt to be repeated for every document, as well as a placeholder for the document to examine. BERT for misinformation. The largest version of BERT contains 340 million parameters.

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Snorkel AI

AUGUST 17, 2023

Users can easily constrain an LLM’s output with clever prompt engineering. Why you should not deploy genAI for predictive into production Given the relative ease of building predictive pipelines using generative AI, it might be tempting to set one up for large-scale use. BERT for misinformation. In-context learning.

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Snorkel AI

AUGUST 17, 2023

Users can easily constrain an LLM’s output with clever prompt engineering. The main challenges of deploying genAI for predictive into production Given the relative ease of building predictive pipelines using generative AI, it might be tempting to set one up for large-scale use. BERT for misinformation. That’s a bad idea.

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Pickl AI

SEPTEMBER 19, 2024

Summary: Explore the importance of prompt tuning in enhancing AI model performance. This article covers key techniques, including manual design and adaptive tuning, to optimise prompts for accurate and efficient AI outputs. Learn how to refine prompts to boost AI accuracy and effectiveness across various applications.

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deepsense.ai

FEBRUARY 6, 2024

It all began with the Segment Anything Model (SAM) from Meta AI, followed by rapid advancements in zero- and few-shot image segmentation. These prompts can take various forms, such as a point, bounding box, initial binary mask, or even text, indicating what specific area of the image to segment. The first concept is prompt engineering.

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ODSC - Open Data Science

NOVEMBER 8, 2023

Generative AI is a new field. Over the past year, new terms, developments, algorithms, tools, and frameworks have emerged to help data scientists and those working with AI develop whatever they desire. You can even fine-tune prompts to get exactly what you want. Don’t go in aimlessly expecting it to do everything.

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AWS Machine Learning Blog

APRIL 17, 2023

Sparked by the release of large AI models like AlexaTM , GPT , OpenChatKit , BLOOM , GPT-J , GPT-NeoX , FLAN-T5 , OPT , Stable Diffusion , and ControlNet , the popularity of generative AI has seen a recent boom. For more information, refer to EMNLP: Prompt engineering is the new feature engineering.

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AWS Machine Learning Blog

MAY 31, 2023

In 2018, BERT-large made its debut with its 340 million parameters and innovative transformer architecture, setting the benchmark for performance on NLP tasks. For text tasks such as sentence classification, text classification, and question answering, you can use models such as BERT, RoBERTa, and DistilBERT.

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Chatbots Life

MAY 12, 2023

How ChatGPT really works and will it change the field of IT and AI? — a There are many approaches to language modelling, we can for example ask the model to fill in the words in the middle of a sentence (as in the BERT model) or predict which words have been swapped for fake ones (as in the ELECTRA model).

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AssemblyAI

MAY 23, 2023

The widespread use of ChatGPT has led to millions embracing Conversational AI tools in their daily routines. ChatGPT is part of a group of AI systems called Large Language Models (LLMs) , which excel in various cognitive tasks involving natural language. LLMs are transforming the AI commercial landscape at unprecedented speed.

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ODSC - Open Data Science

NOVEMBER 19, 2024

ODSC West 2024 showcased a wide range of talks and workshops from leading data science, AI, and machine learning experts. This blog highlights some of the most impactful AI slides from the world’s best data science instructors, focusing on cutting-edge advancements in AI, data modeling, and deployment strategies.

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Unite.AI

AUGUST 4, 2023

This, coupled with the challenges of understanding AI concepts and complex algorithms, contributes to the learning curve associated with developing applications using LLMs. Langchain, a state-of-the-art library, brings convenience and flexibility to designing, implementing, and tuning prompts.

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Snorkel AI

MARCH 23, 2023

Snorkel AI CEO and co-founder Alex Ratner recently spoke with five researchers about the research they published finding creative new ways to get value out of foundation models. They also discuss the importance of prompt engineering and the need for more principled approaches to fine-tuning and guiding these models.

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