Generative artificial intelligence (GenAI) technology is changing the way businesses operate. GenAI is now being used for every possible task, possibly even trending towards industrialisation. The most important activity in implementing GenAI is to develop and train models to generate the meaningful information needed by humans or systems. The process of feeding the information to generate responses is called prompt engineering.
In simple terms, prompt engineering is the process of creating effective prompts that enable GenAI models to generate responses based on given inputs. It is the art of asking the right question to get better output from a GenAI model. These GenAI models are called large language models (LLMs). They can be programmed in English as well as other languages.
Prompts are pieces of text that are used to provide context and guidance to GenAI models. These prompts learn from diverse input data, minimise biases, and provide additional guidance to the model to generate accurate output. A knowledgeable prompt generates highquality AI content related to images, code, text, or data summaries.
Key components of prompt engineering
The key components of prompt formation include instruction, context, input data and output.
Instruction: We must write clear instructions to the model for completing the task. The instruction:
Establishes the goal of the model
Creates text that is being processed or transformed by the model
Can be simple or complex
Context: Important details or context must be provided to get more relevant answers. The context:
Provides details that help the model to answer
Assists the model with necessary information style and tone
Input data: Actual data that the model will be using is referred to as input data.
Express query as clearly as possible
この記事は Open Source For You の March 2024 版に掲載されています。
7 日間の Magzter GOLD 無料トライアルを開始して、何千もの厳選されたプレミアム ストーリー、8,500 以上の雑誌や新聞にアクセスしてください。
すでに購読者です ? サインイン
この記事は Open Source For You の March 2024 版に掲載されています。
7 日間の Magzter GOLD 無料トライアルを開始して、何千もの厳選されたプレミアム ストーリー、8,500 以上の雑誌や新聞にアクセスしてください。
すでに購読者です? サインイン
Why Open Source Dependencies Must be Managed
Unmanaged reliance on open source software may result in a Support crisis over a project’s life span, as well as financial loss for the organisation. Planned and regular upgrades of open source software components are a must.
Openchain: Revolutionising Supply Chain Management
Openchain’s unique features cater specifically to enhancing supply chain management. This distributed ledger technology is helping to build a future where supply chains are more transparent, efficient, and secure.
Open Source, Private and Public Blockchain Platforms: What They Offer
Open source platforms play a crucial role in driving innovation and democratising access to blockchain technology. These platforms promise to have a significant impact on the future of society by offering a range of benefits.
Why Choose Hyperledger Sawtooth?
Hyperledger Sawtooth has earned a formidable reputation as a champion of modularity in the realm of enterprise blockchains. We delve into its components and functionalities, as well as the advantages it offers businesses seeking custom-crafted blockchain solutions.
The Metaverse and Blockchain Technology: What the Future Holds
The integration of the metaverse with blockchain technology has opened exciting possibilities for managing digital assets in virtual environments. As virtual worlds become increasingly immersive and interconnected, the need for secure and efficient asset management solutions has never been greater.
Machine Learning Basics for a Newbie
Machine learning is a vast and rapidly evolving field, and this article serves as a stepping stone for those new to the domain. Explore the fundamental concepts of machine learning, from understanding the differences between traditional programming and ML to delving into various types of machine learning algorithms.
The Evolution of Data Centres: From General-Purpose to Accelerated Computing
Data centres are being turned into modern-day factories for Al generation. It’s no surprise, therefore, that traditional general-purpose computing is making way for accelerated computing.
How Much Open Source Is Too Much Open Source?
Intel’s OpenVINO toolkit helps developers by streamlining code writing, freeing them to concentrate on other vital project aspects. Al Evangelist at Intel, Anisha Udayakumar, elucidates on OpenVINO's versatility.
APIs: Helping Applications Communicate and Collaborate
Application programming interfaces APIs) have become integral components that facilitate seamless communication and interaction between different software systems. They play a pivotal role in modern software development, contributing to interoperability, scalability, and innovation across diverse applications. We delve into the fundamentals of APIs, exploring their definition, functions, types, and the significant impact they have on the digital landscape.
Ensuring Ethics in AI and Mitigating Bias
As AI solutions proliferate, ensuring they are not biased with respect to gender, religion, financial status, etc, has become of paramount importance. The good news is that there is a lot of work being done on that front.