Flipboard

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?

Prompt Engineer 123

Prompt Engineer Prompt Engineering Large Language Models Chatbots 123

Unite.AI

SEPTEMBER 19, 2024

Whether you're leveraging OpenAI’s powerful GPT-4 or with Claude’s ethical design, the choice of LLM API could reshape the future of your business. Why LLM APIs Matter for Enterprises LLM APIs enable enterprises to access state-of-the-art AI capabilities without building and maintaining complex infrastructure.

LLM 246

LLM Automation Large Language Models OpenAI 246

AWS Machine Learning Blog

FEBRUARY 14, 2024

It enables you to privately customize the FMs 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 complying with security and privacy requirements.

Prompt Engineer 141

Prompt Engineer Prompt Engineering Chatbots Generative AI 141

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.

Prompt Engineer 138

Prompt Engineer Prompt Engineering Large Language Models ChatGPT 138

AWS Machine Learning Blog

MARCH 13, 2025

Moreover, employing an LLM for individual product categorization proved to be a costly endeavor. The PydanticOutputParser requires a schema to be able to parse the JSON generated by the LLM. Prompt engineering Prompt engineering involves the skillful crafting and refining of input prompts.

Categorization 111

Categorization Prompt Engineer Prompt Engineering LLM 111

Snorkel AI

MARCH 26, 2025

LLM-as-Judge has emerged as a powerful tool for evaluating and validating the outputs of generative models. LLMs (and, therefore, LLM judges) inherit biases from their training data. In this article, well explore how enterprises can leverage LLM-as-Judge effectively , overcome its limitations, and implement best practices.

LLM 52

LLM Data Scientist Prompt Engineer Prompt Engineering 52

AssemblyAI

JULY 19, 2024

Sonnet, recently announced by Anthropic , sets new industry benchmarks for many LLM tasks. call transcript.lemur.task() , a flexible endpoint that allows you to specify any prompt. Sonnet, specify aai.LemurModel.claude3_5_sonnet for the model when calling the LLM. In this tutorial, you'll learn how to use Claude 3.5

Prompt Engineer 299

Prompt Engineer Prompt Engineering LLM Python 299

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?

Prompt Engineer 112

Prompt Engineer Prompt Engineering Artificial Intelligence Artificial Intelligence 112

Unite.AI

OCTOBER 19, 2023

OpenAI's ChatGPT is a renowned chatbot that leverages the capabilities of OpenAI's GPT models. GPT-4 is a type of LLM called an auto-regressive model which is based on the transformers model. How LLM generates output Once GPT-4 starts giving answers, it uses the words it has already created to make new ones. Showing hidden data.

Prompt Engineer 277

Prompt Engineer Prompt Engineering Large Language Models Natural Language Processing 277

Unite.AI

SEPTEMBER 27, 2023

Having been there for over a year, I've recently observed a significant increase in LLM use cases across all divisions for task automation and the construction of robust, secure AI systems. Every financial service aims to craft its own fine-tuned LLMs using open-source models like LLAMA 2 or Falcon.

Generative AI 304

Generative AI Large Language Models Prompt Engineer Prompt Engineering 304

IBM Journey to AI blog

APRIL 24, 2024

Prompt injections are a type of attack where hackers disguise malicious content as benign user input and feed it to an LLM application. The hacker’s prompt is written to override the LLM’s system instructions, turning the app into the attacker’s tool. Breaking down how the remoteli.io The remoteli.io

LLM 264

LLM Large Language Models Chatbots Artificial Intelligence 264

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. 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.

LLM 126

LLM Prompt Engineering Prompt Engineer Large Language Models 126

Marktechpost

MARCH 23, 2025

Ensuring reliable instruction-following in LLMs remains a critical challenge. Traditional prompt engineering techniques fail to deliver consistent results. Traditional approaches to developing conversational LLM applications often fail in real-world use cases. You can find our research paper on ARQs vs. CoT on parlant.io

Prompt Engineer 86

Prompt Engineer Prompt Engineering LLM Explainability 86

Unite.AI

JANUARY 2, 2024

Augmentation: Following retrieval, the RAG model integrates user query with relevant retrieved data, employing prompt engineering techniques like key phrase extraction, etc. This step effectively communicates the information and context with the LLM , ensuring a comprehensive understanding for accurate output generation.

LLM 243

LLM Large Language Models Chatbots Natural Language Processing 243

The MLOps Blog

DECEMBER 26, 2024

TL;DR LangChain provides composable building blocks to create LLM-powered applications, making it an ideal framework for building RAG systems. The experiment tracker can handle large amounts of data, making it well-suited for quick iteration and extensive evaluations of LLM-based applications. Source What is LangChain? ragas== 0.2.8

LLM 96

LLM Metadata OpenAI Chatbots 96

Flipboard

DECEMBER 6, 2023

Enterprises turn to Retrieval Augmented Generation (RAG) as a mainstream approach to building Q&A chatbots. The end goal was to create a chatbot that would seamlessly integrate publicly available data, along with proprietary customer-specific Q4 data, while maintaining the highest level of security and data privacy.

Chatbots 167

Chatbots LLM Prompt Engineer Prompt Engineering 167

AssemblyAI

FEBRUARY 21, 2025

transcribe(MEETING_URL) Step 2: Generate a meeting summary Now that we have a transcript, we can prompt it with LLMs. To do this we first we need to create this prompt. Here's an example that generates a comprehensive meeting summary, guiding the LLM in analyzing your meeting transcript. Add these lines to your main.py

Python 130

Python LLM Prompt Engineer Prompt Engineering 130

Analytics Vidhya

JUNE 6, 2023

They power virtual assistants, chatbots, AI systems, and other applications, allowing us to communicate with them in natural language. One can use a few tips and […] The post Mastering LLMs: A Comprehensive Guide to Efficient Prompting appeared first on Analytics Vidhya.

Chatbots 337

Chatbots Prompt Engineer Prompt Engineering Large Language Models 337

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. 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.

LLM 111

LLM Prompt Engineering Prompt Engineer Large Language Models 111

AWS Machine Learning Blog

MAY 30, 2024

Instead, Vitech opted for Retrieval Augmented Generation (RAG), in which the LLM can use vector embeddings to perform a semantic search and provide a more relevant answer to users when interacting with the chatbot. Prompt engineering Prompt engineering is crucial for the knowledge retrieval system.

Chatbots 132

Chatbots Prompt Engineer Prompt Engineering Large Language Models 132

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.

Prompt Engineering 147

Prompt Engineering Prompt Engineer LLM Large Language Models 147

Unite.AI

FEBRUARY 6, 2025

Because Large Language Models (LLM) are general-purpose models that dont have all or even the most recent data, you need to augment queries, otherwise known as prompts, to get a more accurate answer. The Line between Copilots and Agents Will Blur GenAI copilots like chatbots are agents that support people. RAG is the Way.

LLM 113

LLM Automation Data Quality Prompt Engineer 113

AWS Machine Learning Blog

MARCH 6, 2025

LlamaIndex is a framework for building LLM applications. It simplifies data integration from various sources and provides tools for data indexing, engines, agents, and application integrations. Optimized for search and retrieval, it streamlines querying LLMs and retrieving documents.

LLM 92

LLM Generative AI ML Prompt Engineer 92

Unite.AI

DECEMBER 13, 2023

Prompt tuning involves crafting and inputting a carefully designed text “prompt” into a Large Language Model (LLM). This prompt essentially guides the model's response, steering it toward the desired output style, tone, or content. The prompt should be clear, concise, and aligned with the desired output.

Chatbots 253

Chatbots LLM Explainability Large Language Models 253

AWS Machine Learning Blog

SEPTEMBER 15, 2023

Large language model (LLM) agents are programs that extend the capabilities of standalone LLMs with 1) access to external tools (APIs, functions, webhooks, plugins, and so on), and 2) the ability to plan and execute tasks in a self-directed fashion. We conclude the post with items to consider before deploying LLM agents to production.

LLM 131

LLM Prompt Engineer Prompt Engineering Large Language Models 131

AWS Machine Learning Blog

AUGUST 15, 2024

In this post, we discuss how to use QnABot on AWS to deploy a fully functional chatbot integrated with other AWS services, and delight your customers with human agent like conversational experiences. Users of the chatbot interact with Amazon Lex through the web client UI, Amazon Alexa , or Amazon Connect.

Chatbots 128

Chatbots Generative AI AI Chatbots LLM 128

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.

Robotics 261

Robotics AI AI Artificial Intelligence 261

AWS Machine Learning Blog

JANUARY 4, 2024

We are seeing numerous uses, including text generation, code generation, summarization, translation, chatbots, and more. Prompt engineering considerations for natural language to SQL The prompt is crucial when using LLMs to translate natural language into SQL queries, and there are several important considerations for prompt engineering.

Prompt Engineering 140

Prompt Engineering Prompt Engineer Generative AI LLM 140

Marktechpost

JUNE 15, 2024

The success of LLMs in various applications, from chatbots to data analysis, hinges on the diversity and quality of the instruction data they are trained with. Access to high-quality, diverse instruction datasets necessary for aligning LLMs is one of many challenges for the field.

Prompt Engineering 133

Prompt Engineering Prompt Engineer Auto-complete Large Language Models 133

AWS Machine Learning Blog

AUGUST 6, 2024

Customization includes varied techniques such as Prompt Engineering, Retrieval Augmented Generation (RAG), and fine-tuning and continued pre-training. Prompt Engineering involves carefully crafting prompts to get a desired response from LLMs. Amazon Bedrock supports multiple prompt engineering techniques.

Generative AI 140

Generative AI Prompt Engineering Prompt Engineer Large Language Models 140

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.

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ChatGPT Natural Language Processing Large Language Models LLM 288

ODSC - Open Data Science

DECEMBER 21, 2023

Your Guide to Starting With RAG for LLM-Powered Applications In this post, we take a closer look at how RAG has emerged as the ideal starting point when it comes to designing enterprise LLM-powered applications. RAG vs Finetuning — Which Is the Best Tool to Boost Your LLM Application? Grab your tickets for 70% off by Friday!

LLM 98

LLM Data Science Prompt Engineer Prompt Engineering 98

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. No training examples are needed in LLM Development but it’s needed in Traditional Development.

Large Language Models 98

Large Language Models LLM Natural Language Processing Deep Learning 98

Marktechpost

JULY 25, 2024

Prompt Engineering with LLaMA-2 Difficulty Level: Beginner This course covers the prompt engineering techniques that enhance the capabilities of large language models (LLMs) like LLaMA-2. It helps learn about LLM building blocks, training methodologies, and ethical considerations.

Large Language Models 112

Large Language Models Prompt Engineering Prompt Engineer Chatbots 112

AWS Machine Learning Blog

OCTOBER 24, 2024

Since the inception of AWS GenAIIC in May 2023, we have witnessed high customer demand for chatbots that can extract information and generate insights from massive and often heterogeneous knowledge bases. Implementation on AWS A RAG chatbot can be set up in a matter of minutes using Amazon Bedrock Knowledge Bases. doc,pdf, or.txt).

Chatbots 94

Chatbots Metadata Generative AI LLM 94

AWS Machine Learning Blog

MARCH 20, 2025

Amazon API Gateway (WebSocket API) facilitates real-time interactions, enabling users to query the knowledge base dynamically via a chatbot or other interfaces. Additionally, large language model (LLM)-based analysis is applied to derive further insights, such as video summaries and classifications.

Automation 113

Automation IDP Generative AI Prompt Engineer 113

AssemblyAI

AUGUST 21, 2024

For the thousands of developers bringing new ideas to life with popular open-source pre-trained models, such as Meta’s Llama series , understanding how to use LLMs more effectively is essential for improving their use-case-specific performance. At their core, LLMs generate probability distributions over word sequences.

LLM 257

LLM Prompt Engineer Prompt Engineering Algorithm 257