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Data Science Large Language Models Prompt Engineering 
Analytics Vidhya
MAY 26, 2022
This article was published as a part of the Data Science Blogathon. Introduction What are Large Language Models(LLM)? Most of you definitely faced this question in your data science journey. They’re also among the models with the most […].
Unite.AI
FEBRUARY 23, 2024
In the ever-evolving landscape of artificial intelligence, the art of prompt engineering has emerged as a pivotal skill set for professionals and enthusiasts alike. Prompt engineering, essentially, is the craft of designing inputs that guide these AI systems to produce the most accurate, relevant, and creative outputs.
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Unite.AI
JULY 26, 2023
The secret sauce to ChatGPT's impressive performance and versatility lies in an art subtly nestled within its programming – prompt engineering. By providing these models with inputs, we're guiding their behavior and responses. This makes us all prompt engineers to a certain degree. What is Prompt Engineering?
AWS Machine Learning Blog
JANUARY 31, 2025
However, there are benefits to building an FM-based classifier using an API service such as Amazon Bedrock, such as the speed to develop the system, the ability to switch between models, rapid experimentation for prompt engineering iterations, and the extensibility into other related classification tasks.
Marktechpost
NOVEMBER 16, 2024
Introduction to Generative AI Learning Path Specialization This course offers a comprehensive introduction to generative AI, covering large language models (LLMs), their applications, and ethical considerations. The learning path comprises three courses: Generative AI, Large Language Models, and Responsible AI.
Analytics Vidhya
JANUARY 5, 2024
Introduction Prompting plays a crucial role in enhancing the performance of Large Language Models. By providing specific instructions and context, prompts guide LLMs to generate more accurate and relevant responses.
305 
Towards AI
SEPTEMBER 6, 2023
How to modify your text prompt to obtain the best from an LLM without training This member-only story is on us. Photo by Steven Lelham on Unsplash Large Language Models are more and more used and their skills are surprising. Upgrade to access all of Medium.
Towards AI
AUGUST 6, 2024
Master LLMs & Generative AI Through These Five Books This article reviews five key books that explore the rapidly evolving fields of large language models (LLMs) and generative AI, providing essential insights into these transformative technologies.
Towards AI
APRIL 23, 2024
Prompt Engineering for Instruction-Tuned LLMs One of the compelling aspects of utilizing a large language model lies in its capacity to effortlessly construct a personalized chatbot and leverage it to craft your very own chatbot tailored to various applications. Join thousands of data leaders on the AI newsletter.
Towards AI
AUGUST 29, 2023
Decoding the art and science of prompt engineering, the secret sauce for supercharging Large Language Models. Photo by Mojahid Mottakin on Unsplash Who would’ve thought crafting perfect prompts for Large Language Models (LLMs) or other generative models could actually be a job?
ODSC - Open Data Science
MARCH 10, 2025
Over the past decade, data science has undergone a remarkable evolution, driven by rapid advancements in machine learning, artificial intelligence, and big data technologies. This blog dives deep into these changes of trends in data science, spotlighting how conference topics mirror the broader evolution of datascience.
52 
ODSC - Open Data Science
SEPTEMBER 19, 2023
Prompt engineers are responsible for developing and maintaining the code that powers large language models or LLMs for short. But to make this a reality, prompt engineers are needed to help guide large language models to where they need to be.
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. What is prompt engineering?
ODSC - Open Data Science
AUGUST 29, 2023
Since OpenAI’s ChatGPT kicked down the door and brought large language models into the public imagination, being able to fully utilize these AI models has quickly become a much sought-after skill. With that said, companies are now realizing that to bring out the full potential of AI, prompt engineering is a must.
ODSC - Open Data Science
OCTOBER 3, 2023
Who hasn’t seen the news surrounding one of the latest jobs created by AI, that of prompt engineering ? If you’re unfamiliar, a prompt engineer is a specialist who can do everything from designing to fine-tuning prompts for AI models, thus making them more efficient and accurate in generating human-like text.
ODSC - Open Data Science
DECEMBER 6, 2023
Prompt engineering has become the Wild West of tech skills. Though the field is still in its infancy, there’s a growing list of resources one can utilize if you’re interested in becoming a prompt engineer. Prompt Engineering Courses Now on to the good stuff, actual prompt engineering!
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.
Towards AI
MARCH 11, 2024
Prompt Engineering for Instruction-Tuned LLM Large language models excel at translation and text transformation, effortlessly converting input from one language to another or aiding in spelling and grammar corrections. Previously, such tasks were arduous and intricate.
Towards AI
MARCH 26, 2024
Prompt Engineering for Instruction-Tuned LLMs Text expansion is the task of taking a shorter piece of text, such as a set of instructions or a list of topics, and having the large language model generate a longer piece of text, such as an email or an essay about some topic.
Towards AI
FEBRUARY 13, 2024
Leading this revolution is ChatGPT, a state-of-the-art large language model (LLM) developed by OpenAI. As a large language model, ChatGPT is built on a vast dataset of language examples, enabling it to understand and generate human-like text with remarkable accuracy.
ODSC - Open Data Science
NOVEMBER 30, 2023
Feature Store Architecture, the Year of Large Language Models, and the Top Virtual ODSC West 2023 Sessions to Watch Feature Store Architecture and How to Build One Learn about the Feature Store Architecture and dive deep into advanced concepts and best practices for building a feature store.
ODSC - Open Data Science
JULY 3, 2023
We’re hearing a lot about large language models, or LLMs recently in the news. If you don’t know, LLMs are a type of artificial intelligence that is trained on massive amounts of text data. Kosmos Kosmos-1 is a multimodal large language model that can perceive general modalities, learn in context, and follow instructions.
Unite.AI
JULY 5, 2024
Large Language Models (LLMs) are powerful tools not just for generating human-like text, but also for creating high-quality synthetic data. This capability is changing how we approach AI development, particularly in scenarios where real-world data is scarce, expensive, or privacy-sensitive.
259 
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.
MARCH 7, 2025
To achieve the desired accuracy, consistency, and efficiency, Verisk employed various techniques beyond just using FMs, including prompt engineering, retrieval augmented generation, and system design optimizations. Prompt optimization The change summary is different than showing differences in text between the two documents.
152 
Artificial Corner
AUGUST 3, 2023
Prompt engineering in under 10 minutes — theory, examples and prompting on autopilot Master the science and art of communicating with AI. What is a prompt? A prompt is the first message given to a large language model. If you enjoyed this story, please give it a ?.
Towards AI
FEBRUARY 20, 2024
When you build applications with large language models, it is difficult to come up with a prompt that you will end up using in the final application on your first attempt. Author(s): Youssef Hosni Originally published on Towards AI.
ODSC - Open Data Science
AUGUST 24, 2023
Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices Editor’s note: Jayachandran Ramachandran and Rohit Sroch are speakers for ODSC APAC this August 22–23. This trainable custom model can then be progressively improved through a feedback loop as shown above.
ODSC - Open Data Science
FEBRUARY 1, 2024
Datasets for Fine-Tuning Large Language Models, Prompt Engineering Use Cases, and How to Ace the Data Science Interview 10 Datasets for Fine-Tuning Large Language Models In this blog post, we will explore ten valuable datasets that can assist you in fine-tuning or training your LLM.
deepsense.ai
JULY 30, 2023
We may observe a growing awareness among machine learning and data science practitioners of the crucial role played by pre- and post-training activities. To start simply, you could think of LLMOps ( Large Language Model Operations) as a way to make machine learning work better in the real world over a long period of time.
Marktechpost
JUNE 19, 2024
Introduction to Generative AI Learning Path Specialization This course offers a comprehensive introduction to generative AI, covering large language models (LLMs), their applications, and ethical considerations. The learning path comprises three courses: Generative AI, Large Language Models, and Responsible AI.
ODSC - Open Data Science
APRIL 2, 2025
Engineers are now building systems that can parse images, text, voice, and structured data simultaneously. Paired with the open-source momentum in large language models, theres a clear demand for technical fluency in navigating tools like LangChain, Hugging Face, and fine-tuned LLMs.
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. One such example is performing data science on unstructured GP medical records. It was certainly inescapable.
342 
Towards AI
DECEMBER 28, 2023
GenAI I serve as the Principal Data Scientist at a prominent healthcare firm, where I lead a small team dedicated to addressing patient needs. Over the past 11 years in the field of data science, I’ve witnessed significant transformations. Expand your skillset by… courses.analyticsvidhya.com 2.
ODSC - Open Data Science
JANUARY 25, 2024
In a post on LinkedIn , Meta AI introduced, “Prompt Engineering with Llama 2,” an interactive guide that is a significant stride forward, designed specifically for the Llama community. Well, for starters, it provides hands-on experience in prompt engineering, a crucial aspect of working with large language models like Llama 2.
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. Fine-tuning Train the FM on data relevant to the task. In this case, the relevant context will be embedded into the model weights, instead of being part of the input.
105 
Marktechpost
JUNE 8, 2024
Implement a data science and machine learning solution for AI in Microsoft Fabric This course covers the data science process in Microsoft Fabric, teaching how to train machine learning models, preprocess data, and manage models with MLflow.
Unite.AI
SEPTEMBER 30, 2024
Rather, the real transformation that AI will provide for the security industry will take place when AI models are customized and tuned for security use cases. Without an abundance of experts available, the precise work needed to tailor AI models to work within a security context will be slowed.
173 
ODSC - Open Data Science
FEBRUARY 16, 2024
Recently, we posted an in-depth article about the skills needed to get a job in prompt engineering. We covered the knowledge needed, tools, frameworks, and programming languages that will help you get a job in this new field if you’re interested in it. Now, what do prompt engineering job descriptions actually want you to do?
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
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.
ODSC - Open Data Science
JULY 31, 2023
With the explosion in user growth with AIs such as ChatGPT and Google’s Bard , prompt engineering is fast becoming better understood for its value. If you’re unfamiliar with the term, prompt engineering is a crucial technique for effectively utilizing text-based large language models (LLMs) like ChatGPT and Bard.
ODSC - Open Data Science
JANUARY 18, 2024
Must-Have Prompt Engineering Skills, Preventing Data Poisoning, and How AI Will Impact Various Industries in 2024 Must-Have Prompt Engineering Skills for 2024 In this comprehensive blog, we reviewed hundreds of prompt engineering job descriptions to identify the skills, platforms, and knowledge that employers are looking for in this emerging field.
Marktechpost
MAY 29, 2024
Participants will learn to implement machine learning workflows, process large data with accelerated tools, and deploy models for real-time analysis using NVIDIA’s tools and frameworks. The course covers important graph concepts, neural network applications to graphs, and practical uses across various industries.
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