Artificial Corner

JULY 30, 2023

In this world of complex terminologies, someone who wants to explain Large Language Models (LLMs) to some non-tech guy is a difficult task. So that’s why I tried in this article to explain LLM in simple or to say general language. A transformer architecture is typically implemented as a Large language model.

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Marktechpost

APRIL 2, 2025

Gomoku, a classic board game known for its simple rules yet deep strategic complexity, presents difficulties for both traditional search-based methods, which are computationally expensive, and machine learning approaches, which often struggle with efficiency.

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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. What are Large Language Models and Why are They Important?

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ODSC - Open Data Science

MAY 1, 2023

Large language models (LLMs) and generative AI have taken the world by storm, allowing AI to enter the mainstream and show that AI is real and here to stay. However, a new paradigm has entered the chat, as LLMs don’t follow the same rules and expectations of traditional machine learning models.

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AssemblyAI

MAY 23, 2023

ChatGPT is part of a group of AI systems called Large Language Models (LLMs) , which excel in various cognitive tasks involving natural language. Transformers excel at natural language contextual understanding, making them the go-to choice for most language tasks today.

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AI Weekly

AUGUST 31, 2023

will most likely end up with only two or three foundation models or even hundreds, the emphasis should instead be placed on “de-risking” AI model deployments to create more resilient global ecosystems. zdnet.com Nvidia’s stock closes at record after Google AI partnership Nvidia shares rose 4.2% dailymail.co.uk dailymail.co.uk

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Heartbeat

APRIL 10, 2023

At this point, a new concept emerged: “Prompt Engineering.” What is Prompt Engineering? While users initially experimented with different commands on their own, they began to push the limits of the language model’s capabilities day by day, producing more and more surprising outputs each time.

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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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Towards AI

DECEMBER 28, 2023

Later, Python gained momentum and surpassed all programming languages, including Java, in popularity around 2018–19. The advent of more powerful personal computers paved the way for the gradual acceptance of deep learning-based methods. CS6910/CS7015: Deep Learning Mitesh M. Khapra Homepage www.cse.iitm.ac.in

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Unite.AI

DECEMBER 27, 2023

Another breakthrough is the rise of generative language models powered by deep learning algorithms. Leading models like OpenAI's GPT-3 , Google's T5 , and Facebook's RoBERTa have played a crucial role in various applications, including chatbots, content creation, and language translation.

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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. Neural Networks & Deep Learning : Neural networks marked a turning point, mimicking human brain functions and evolving through experience.

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AWS Machine Learning Blog

JANUARY 22, 2025

Converting free text to a structured query of event and time filters is a complex natural language processing (NLP) task that can be accomplished using FMs. In this case, the relevant context will be embedded into the model weights, instead of being part of the input. Fine-tuning Train the FM on data relevant to the task.

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ODSC - Open Data Science

MARCH 10, 2025

By 2017, deep learning began to make waves, driven by breakthroughs in neural networks and the release of frameworks like TensorFlow. The Deep Learning Boom (20182019) Between 2018 and 2019, deep learning dominated the conference landscape.

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Heartbeat

AUGUST 25, 2023

Introduction Prompt Engineering is arguably the most critical aspect in harnessing the power of Large Language Models (LLMs) like ChatGPT. However; current prompt engineering workflows are incredibly tedious and cumbersome. Logging prompts and their outputs to .csv

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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). The course covers the common terminologies of AI, including neural networks, machine learning, deep learning, etc., and what AI can and cannot do.

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AssemblyAI

SEPTEMBER 29, 2023

Controlling text to image models is a difficult task, and they often may not convey visually specific concepts or details provided in the prompt. As a result, the concept of prompt engineering came to be, which is the study and practice of developing prompts specifically to drive tailored outputs of text-to-image models.

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Marktechpost

MAY 29, 2024

This article lists the top AI courses NVIDIA provides, offering comprehensive training on advanced topics like generative AI, graph neural networks, and diffusion models, equipping learners with essential skills to excel in the field. It also covers how to set up deep learning workflows for various computer vision tasks.

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Marktechpost

JUNE 8, 2024

Fundamentals of machine learning This course provides a foundational understanding of machine learning, including its core concepts, types, and considerations for training and evaluating models. It also covers deep learning fundamentals and the use of automated machine learning in Azure Machine Learning service.

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Marktechpost

JULY 26, 2024

Current methodologies for Text-to-SQL primarily rely on deep learning models, particularly Sequence-to-Sequence (Seq2Seq) models, which have become mainstream due to their ability to map natural language input directly to SQL output without intermediate steps.

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AWS Machine Learning Blog

NOVEMBER 12, 2024

In this blog post, we demonstrate prompt engineering techniques to generate accurate and relevant analysis of tabular data using industry-specific language. This is done by providing large language models (LLMs) in-context sample data with features and labels in the prompt.

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Heartbeat

AUGUST 2, 2023

Introduction to LLMs LLM in the sphere of AI Large language models (often abbreviated as LLMs) refer to a type of artificial intelligence (AI) model typically based on deep learning architectures known as transformers. The end goal of such a model is to understand and be able to generate human-like text.

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Heartbeat

JANUARY 9, 2024

Large language models have emerged as ground-breaking technologies with revolutionary potential in the fast-developing fields of artificial intelligence (AI) and natural language processing (NLP). These LLMs are artificial intelligence (AI) systems trained using large data sets, including text and code.

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Heartbeat

SEPTEMBER 19, 2023

I’m so excited to talk to you about Language Models! They’re these incredible creations called Large Language Models (LLMs) that have the power to understand and generate human-like text. Comet’s LLMOps tool provides an intuitive and responsive view of our prompt history. Image by Author Hey there!

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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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IBM Journey to AI blog

FEBRUARY 13, 2024

Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.” This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task.

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Mlearning.ai

JUNE 9, 2023

A Look at Emerging Technical Stacks and Enabling Technologies Challenges of building LLM-powered apps I want to survey building AI applications powered by large language models and related emerging technologies. I have written several articles ( 1 , 2 , 3 ) on large language models and generative AI.

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AWS Machine Learning Blog

SEPTEMBER 21, 2023

To add to our guidance for optimizing deep learning workloads for sustainability on AWS , this post provides recommendations that are specific to generative AI workloads. Although this post primarily focuses on large language models (LLM), we believe most of the recommendations can be extended to other foundation models.

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AssemblyAI

MARCH 18, 2024

Advanced Large Language Models (LLMs) are powering chatbots, image generators, and software that can handle complicated requests from users and return near-human results. What are Large Language Models (LLMs)?

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AWS Machine Learning Blog

NOVEMBER 14, 2024

It enables you to privately customize the FM of your choice with your data using techniques such as fine-tuning, prompt engineering, and retrieval augmented generation (RAG) and build agents that run tasks using your enterprise systems and data sources while adhering to security and privacy requirements.

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Mlearning.ai

JANUARY 17, 2024

95x: Generative AI history 600+: Key Technological Concepts 2,350+: Models & Mediums — Text, Image, Video, Sound, Code, etc. Deep learning neural network. In the code, the complete deep learning network is represented as a matrix of weights. Pre-training, fine-tuning and prompting of large language models.

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AWS Machine Learning Blog

MAY 3, 2023

Generative AI (GenAI) and large language models (LLMs), such as those available soon via Amazon Bedrock and Amazon Titan are transforming the way developers and enterprises are able to solve traditionally complex challenges related to natural language processing and understanding.

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AWS Machine Learning Blog

MAY 13, 2024

In part 1 of this blog series, we discussed how a large language model (LLM) available on Amazon SageMaker JumpStart can be fine-tuned for the task of radiology report impression generation. It can be achieved through the use of proper guided prompts. There are many prompt engineering techniques.

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ODSC - Open Data Science

AUGUST 24, 2023

5 Jobs That Will Use Prompt Engineering in 2023 Whether you’re looking for a new career or to enhance your current path, these jobs that use prompt engineering will become desirable in 2023 and beyond. That’s why enriching your analysis with trusted, fit-for-use, third-party data is key to ensuring long-term success.

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Towards AI

JANUARY 6, 2025

You may get hands-on experience in Generative AI, automation strategies, digital transformation, prompt engineering, etc. AI engineering professional certificate by IBM AI engineering professional certificate from IBM targets fundamentals of machine learning, deep learning, programming, computer vision, NLP, etc.

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Marktechpost

JULY 19, 2023

Large language models can swiftly adapt to new tasks utilizing in-context learning by being given a few demos and real language instructions. Also, don’t forget to join our 26k+ ML SubReddit , Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.

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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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Analytics Vidhya

DECEMBER 24, 2023

Introduction With recent AI advancements such as LangChain, ChatGPT builder, and the prominence of Hugging Face, creating AI and LLM apps has become more accessible. However, many are unsure how to leverage these tools effectively.

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