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 First install the package via pip.

Prompt Engineering 52

Prompt Engineering Prompt Engineer Large Language Models Metadata 52

AWS Machine Learning Blog

AUGUST 8, 2024

They used the metadata layer (schema information) over their data lake consisting of views (tables) and models (relationships) from their data reporting tool, Looker , as the source of truth. Refine your existing application using strategic methods such as prompt engineering , optimizing inference parameters and other LookML content.

Metadata 129

Metadata LLM Prompt Engineer Prompt Engineering 129

AWS Machine Learning Blog

MAY 7, 2024

Tasks such as routing support tickets, recognizing customers intents from a chatbot conversation session, extracting key entities from contracts, invoices, and other type of documents, as well as analyzing customer feedback are examples of long-standing needs. We also examine the uplift from fine-tuning an LLM for a specific extractive task.

Prompt Engineering 126

Prompt Engineering Prompt Engineer Large Language Models LLM 126

AWS Machine Learning Blog

OCTOBER 6, 2023

Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. Another essential component is an orchestration tool suitable for prompt engineering and managing different type of subtasks. A feature store maintains user profile data.

Generative AI 141

Generative AI LLM Natural Language Processing Metadata 141

Unite.AI

JANUARY 23, 2024

From chatbots to search engines to creative writing aids, LLMs are powering cutting-edge applications across industries. LLMs represent a paradigm shift in AI and have enabled applications like chatbots, search engines, and text generators which were previously out of reach.

Large Language Models 100

Large Language Models Prompt Engineer Prompt Engineering LLM 100

AWS Machine Learning Blog

AUGUST 9, 2024

Question and answering (Q&A) using documents is a commonly used application in various use cases like customer support chatbots, legal research assistants, and healthcare advisors. The embedding representations of text chunks along with related metadata are indexed in OpenSearch Service.

Data Ingestion 133

Data Ingestion Metadata LLM Generative AI 133

AWS Machine Learning Blog

SEPTEMBER 15, 2023

For example, an administrative chatbot that schedules meetings would require access to employees’ calendars and email. The agent can subsequently be integrated with Amazon Lex and used as a chatbot inside websites or AWS Connect. We use prompt engineering only and Flan-UL2 model as-is without fine-tuning.

LLM 132

LLM Prompt Engineer Prompt Engineering Large Language Models 132

AWS Machine Learning Blog

SEPTEMBER 6, 2024

The chatbot built by AWS GenAIIC would take in this tag data and retrieve insights. Workflow details After the user inputs a query, a prompt is automatically created and then fed into a QA chatbot in which a response is outputted. Vidmob’s ad data consists of tags created from Amazon Rekognition and other internal models.

Generative AI 126

Generative AI LLM Large Language Models AI 126

Heartbeat

FEBRUARY 8, 2024

AI Chatbots offer 24/7 availability support, minimize errors, save costs, boost sales, and engage customers effectively. Businesses are drawn to chatbots not only for the aforementioned reasons but also due to their user-friendly creation process. Creating a chatbot is now more accessible with many development platforms available.

Conversational AI 52

Conversational AI Chatbots LLM Prompt Engineer 52

The MLOps Blog

MARCH 12, 2024

Tools range from data platforms to vector databases, embedding providers, fine-tuning platforms, prompt engineering, evaluation tools, orchestration frameworks, observability platforms, and LLM API gateways. with efficient methods and enhancing model performance through prompt engineering and retrieval augmented generation (RAG).

Prompt Engineer 52

Prompt Engineer Prompt Engineering Large Language Models LLM 52

Heartbeat

JANUARY 26, 2024

LangChain Conversation Memory Types: Pros & Cons, and Code Examples When it comes to chatbots and conversational agents, the ability to retain and remember information is critical to creating fluid, human-like interactions. I previously shared relevant articles on creating a basic chatbot without using Conversation Memory.

Metadata 52

Metadata LLM OpenAI Chatbots 52

Heartbeat

OCTOBER 19, 2023

Text Generation: LLMs can generate human-like text, which has applications in content creation, chatbots, and even creative writing. Chatbots and Virtual Assistants: LLMs can be used to power chatbots and virtual assistants, providing human-like interactions and personalized responses to users 6.

Large Language Models 52

Large Language Models Metadata LLM Deep Learning 52

deepsense.ai

JULY 30, 2023

Model training is only a small part of a typical machine learning project (source: own study) Of course, in the context of Large Language Models, we often talk about just fine tuning, few-shot learning or just prompt engineering instead of a full training procedure. This triggers a bunch of quality checks (e.g.

Large Language Models 98

Large Language Models LLM Machine Learning Automation 98

ODSC - Open Data Science

JULY 12, 2024

Engage in our hands-on workshops on the latest LLMs, SML, and RAG techniques and their applications, from chatbots to research tools. Topics you will learn: NLP | Sentiment Analysis, Dialog Systems, Semantic Search, etc. |

Robotics 40

Robotics Deep Learning NLP Large Language Models 40

Snorkel AI

MARCH 2, 2023

Some of them are more geared and tuned toward actual question answering, or a chatbot kind of interaction. The natural chatbot conversational agent, our contact center comes to mind. Then comes prompt engineering. Prompt engineering cannot be thought of as a very simple matter. Billions of parameters.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Neural Network 52

Snorkel AI

MARCH 2, 2023

Some of them are more geared and tuned toward actual question answering, or a chatbot kind of interaction. The natural chatbot conversational agent, our contact center comes to mind. Then comes prompt engineering. Prompt engineering cannot be thought of as a very simple matter. Billions of parameters.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Neural Network 52

Heartbeat

DECEMBER 15, 2023

queries = [ "What are educators' main concerns regarding using AI chatbots like ChatGPT by students?", ", "Why do the Stanford researchers believe that concerns about AI chatbots leading to increased student cheating are misdirected?", high school students in the context of AI chatbots?",

AI Chatbots 52

AI Chatbots LLM Chatbots NLP 52

Heartbeat

NOVEMBER 8, 2023

This gives you access to metadata like the number of tokens used. This allows the building of chatbots and assistants that can handle diverse requests. '}] generate is similar to apply, except it returns an LLMResult instead of a string. Use this when you want the entire LLMResult object returned, not just the generated text.

LLM 52

LLM OpenAI Data Scientist Prompt Engineering 52

AWS Machine Learning Blog

SEPTEMBER 1, 2023

Main use cases are around human-like chatbots, summarization, or other content creation such as programming code. Strong domain knowledge for tuning, including prompt engineering, is required as well. Only prompt engineering is necessary for better results.

Generative AI 129

Generative AI Prompt Engineer Prompt Engineering ML 129