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Chatbots Large Language Models Prompt Engineering 
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.
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?
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Unite.AI
AUGUST 1, 2023
The spotlight is also on DALL-E, an AI model that crafts images from textual inputs. One such model that has garnered considerable attention is OpenAI's ChatGPT , a shining exemplar in the realm of Large Language Models. Our exploration into prompt engineering techniques aims to improve these aspects of LLMs.
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.
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.
Marktechpost
JULY 25, 2024
Large Language Models (LLMs) have revolutionized AI with their ability to understand and generate human-like text. Learning about LLMs is essential to harness their potential for solving complex language tasks and staying ahead in the evolving AI landscape.
JULY 27, 2023
When talking to newsroom leaders about their experiments with generative AI, a new term has cropped up: prompt engineering. Prompt engineering is necessary for most interactions with LLMs, especially for publishers developing specific chatbots and quizzes. WTF is prompt engineering?
AWS Machine Learning Blog
FEBRUARY 14, 2024
Amazon Bedrock offers a choice of high-performing foundation models from leading AI companies, including AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon, via a single API. You can use creativity and trial-and-error methods to create a collection on input prompts, so the application works as expected.
MARCH 1, 2023
Knowing how to talk to chatbots may get you hired as a prompt engineer for generative AI. Prompt engineers are experts in asking AI chatbots — which run on large language models — questions that can produce desired responses. Looking for a job in tech's hottest field?
Marktechpost
MAY 10, 2024
Believe it or not, the first generative AI tools were introduced in the 1960s in a Chatbot. The main reason for that is the need for prompt engineering skills. Generative AI can produce new content, but you need proper prompts; hence, jobs like prompt engineering exist.
Marktechpost
MARCH 30, 2024
Large Language Models (LLMs) are now a crucial component of innovation, with ChatGPT being one of the most popular ones developed by OpenAI. Its ability to generate text responses resembling human-like language has become essential for various applications such as chatbots, content creation, and customer service.
Marktechpost
JULY 4, 2023
Over a million users are already using the revolutionary chatbot for interaction. 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. What is prompt engineering?
Unite.AI
SEPTEMBER 27, 2023
Generative AI refers to models that can generate new data samples that are similar to the input data. The success of ChatGPT opened many opportunities across industries, inspiring enterprises to design their own large language models. FinGPT FinGPT is a state-of-the-art financial fine-tuned large language model (FinLLM).
304 
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.
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.
Unite.AI
OCTOBER 19, 2023
Large Language Models can craft poetry, answer queries, and even write code. The same prompts that enable LLMs to engage in meaningful dialogue can be manipulated with malicious intent. Other significant models like MusicLM, CLIP, and PaLM has also emerged. This is called prompt engineering.
277 
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. LLMs utilize embeddings to understand word context.
Unite.AI
DECEMBER 3, 2024
Here is why this matters: Moves beyond template-based responses Advanced pattern recognition capabilities Dynamic style adaptation in real-time Integration with existing language model strengths Remember when chatbots first appeared? They were basically glorified decision trees.
145 
Marktechpost
JANUARY 11, 2024
In 2023, the field of artificial intelligence witnessed significant advancements, particularly in the field of large language models. Bard : Google’s Bard is an AI-powered chatbot created by Google that utilizes natural language processing and machine learning to mimic human-like conversation.
Heartbeat
APRIL 10, 2023
Indeed, it wasn’t long before ChatGPT was named “the best artificial intelligence chatbot ever released” by the NYT?. This language model was trained on a 300 billion word (~570 GB) dataset and fine-tuned on GPT-3.5 At this point, a new concept emerged: “Prompt Engineering.” What is Prompt Engineering?
Analytics Vidhya
JUNE 6, 2023
Introduction Language models are transforming the way we interact with technology. They power virtual assistants, chatbots, AI systems, and other applications, allowing us to communicate with them in natural language.
337 
Unite.AI
JANUARY 2, 2024
Large Language Models (LLMs) have contributed to advancing the domain of natural language processing (NLP), yet an existing gap persists in contextual understanding. Cost-efficiency Chatbot development often involves utilizing foundation models that are API-accessible LLMs with broad training.
243 
Analytics Vidhya
MAY 8, 2023
Large language models (LLM) such as GPT-4 have significantly progressed in natural language processing and generation. These models are capable of generating high-quality text with remarkable fluency and coherence. However, they often fail when tasked with complex operations or logical reasoning.
288 
ODSC - Open Data Science
JULY 3, 2023
We’re hearing a lot about large language models, or LLMs recently in the news. Because of this, LLMs have a wide range of potential applications, including in the fields of natural language processing, machine translation, and text generation. LLaMA-65B is competitive with the best models, Chinchilla70B and PaLM-540B.
AWS Machine Learning Blog
MAY 30, 2024
Hosting large language models Vitech explored the option of hosting Large Language Models (LLMs) models using Amazon Sagemaker. Vitech needed a fully managed and secure experience to host LLMs and eliminate the undifferentiated heavy lifting associated with hosting 3P models.
133 
Analytics Vidhya
SEPTEMBER 29, 2023
Introduction Generative Artificial Intelligence (AI) models have revolutionized natural language processing (NLP) by producing human-like text and language structures.
Towards AI
NOVEMBER 14, 2024
Large language models (LLMs) and generative AI are not a novelty — they are a true breakthrough that will grow to impact much of the economy. LLM Developer is a distinct new role, different from both Software Developer and Machine Learning Engineer, and requires learning a new set of skills and intuitions.
116 
Towards AI
MARCH 15, 2024
Photo by Martin Martz on Unsplash A new trend has recently reshaped our approach to building software applications: the rise of large language models (LLMs) and their integration into software development. These inputs are called prompts and are designed for LLMs like GPT to generate responses.
AWS Machine Learning Blog
MARCH 13, 2025
This post was co-written with Vishal Singh, Data Engineering Leader at Data & Analytics team of GoDaddy Generative AI solutions have the potential to transform businesses by boosting productivity and improving customer experiences, and using large language models (LLMs) in these solutions has become increasingly popular.
112 
deepsense.ai
JULY 30, 2023
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. As previously mentioned: model training is only part of what machine learning teams deal with. What is LLMOps? Why are these elements so important?
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.
Unite.AI
DECEMBER 27, 2023
These tools, such as OpenAI's DALL-E , Google's Bard chatbot , and Microsoft's Azure OpenAI Service , empower users to generate content that resembles existing data. Another breakthrough is the rise of generative language models powered by deep learning algorithms.
217 
AI Weekly
MAY 30, 2024
Sponsor When Generative AI Gets It Wrong, TrainAI Helps Make It Right TrainAI provides prompt engineering, response refinement and red teaming with locale-specific domain experts to fine-tune GenAI. Need data to train or fine-tune GenAI? Download 20 must-ask questions to find the right data partner for your AI project.
261 
IBM Journey to AI blog
APRIL 24, 2024
Large language models (LLMs) may be the biggest technological breakthrough of the decade. They are also vulnerable to prompt injections , a significant security flaw with no apparent fix. While researchers have not yet found a way to completely prevent prompt injections, there are ways of mitigating the risk.
264 
Marktechpost
OCTOBER 1, 2024
Large Language Models (LLMs) have become a cornerstone in artificial intelligence, powering everything from chatbots and virtual assistants to advanced text generation and translation systems. Despite their prowess, one of the most pressing challenges associated with these models is the high cost of inference.
IBM Journey to AI blog
FEBRUARY 13, 2024
This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Generative adversarial networks (GANs) or variational autoencoders (VAEs) are used for images, videos, 3D models and music. Autoregressive models or large language models (LLMs) are used for text and language.
343 
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.
107 
Unite.AI
JUNE 6, 2024
Built on large language models (LLMs), these solutions are often informed by vast amounts of disparate sources that are likely to contain at least some inaccurate or outdated information – these fabricated answers make up between 3% and 10% of AI chatbot-generated responses to user prompts.
AWS Machine Learning Blog
AUGUST 6, 2024
Now I’d like to turn to a slightly more technical, but equally important differentiator for Bedrock—the multiple techniques that you can use to customize models and meet your specific business needs. Customization unlocks the transformative potential of large language models. Learn more here.
140 
Marktechpost
MARCH 23, 2025
Traditional prompt engineering techniques fail to deliver consistent results. The two most common approaches are: Iterative prompt engineering, which leads to inconsistent, unpredictable behavior. Ensuring reliable instruction-following in LLMs remains a critical challenge.
Towards AI
SEPTEMBER 10, 2023
Why LLM-powered chatbots haven’t taken the world by storm just yet This member-only story is on us. Upgrade to access all of Medium. Following this introduction, businesses from all sectors became captivated by the prospect of training LLMs with their data to build their own domain-specific… Read the full blog for free on Medium.
126 
Unite.AI
SEPTEMBER 30, 2024
The transformative benefit of applying generative AI within the cybersecurity industry likely won’t come from generic chatbots or quickly layering AI over data processing models. 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.
173 
Pickl AI
NOVEMBER 6, 2024
Summary : Prompt engineering is a crucial practice in Artificial Intelligence that involves designing specific prompts to guide Generative AI models. Prompt engineering plays a crucial role in this landscape, as it directly influences the quality and relevance of AI-generated outputs.
AssemblyAI
FEBRUARY 21, 2025
In this tutorial, you'll learn how to use AssemblyAI's LeMUR framework to automatically capture and analyze your meetings, allowing you to turn hours of conversations into structured summaries, clear action items, and actionable insights - all powered by large language models.
130
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