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 Metadata Natural Language Processing 141

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 136

Data Ingestion Metadata LLM Generative AI 136

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 135

LLM Prompt Engineer Prompt Engineering Large Language Models 135

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 98

Chatbots Metadata Generative AI LLM 98

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 132

Generative AI LLM Large Language Models AI 132

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 134

Generative AI Prompt Engineer Prompt Engineering AI 134

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

DECEMBER 26, 2024

makes it easy for RAG developers to track evaluation metrics and metadata, enabling them to analyze and compare different system configurations. Further, LangChain offers features for prompt engineering, like templates and example selectors. The framework also contains a collection of tools that can be called by LLM agents.

LLM 52

LLM Metadata OpenAI Chatbots 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 Chatbots 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 Engineer 52