Heartbeat

NOVEMBER 22, 2023

metadata : (Optional) Additional metadata to associate with the evaluation. Returns: The method returns a dictionary with the following keys: reasoning : Explains why one prediction is preferred over the other. ", input="Explain the theory of relativity in a sentence.", kwargs : Additional keyword arguments.

LLM 52

LLM Explainability Metadata Deep Learning 52

Heartbeat

NOVEMBER 24, 2023

A Document is a piece of text with associated metadata. We’re committed to supporting and inspiring developers and engineers from all walks of life. Following these steps, you can effectively incorporate retrieval capabilities into your LangChain application and enhance the language model’s performance and contextual understanding.

Deep Learning 52

Deep Learning Metadata OpenAI Data Scientist 52

Heartbeat

SEPTEMBER 19, 2023

Comet’s LLMOps tool provides an intuitive and responsive view of our prompt history. Prompt Playground: With the LLMOps tool comes the new Prompt Playground, which allows Prompt Engineers to iterate quickly with different Prompt Templates and understand the impact on different contexts. Create a new project.

Large Language Models 52

Large Language Models Metadata LLM Data Scientist 52

AWS Machine Learning Blog

OCTOBER 24, 2023

Solution overview The following diagram is a high-level reference architecture that explains how you can further enhance an IDP workflow with foundation models. For example, we can follow prompt engineering best practices to fine-tune an LLM to format dates into MM/DD/YYYY format, which may be compatible with a database DATE column.

IDP 113

IDP LLM Prompt Engineer Prompt Engineering 113

The MLOps Blog

JUNE 27, 2023

This includes features for model explainability, fairness assessment, privacy preservation, and compliance tracking. The platform also offers features for hyperparameter optimization, automating model training workflows, model management, prompt engineering, and no-code ML app development. Can you render audio/video?

Machine Learning 134

Machine Learning Metadata Data Quality Data Scientist 134

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 LLM Large Language Models 52

Heartbeat

OCTOBER 19, 2023

Users can gain deep insights into the evolution of their prompts and responses. Prompt Playground Adventure: Within the LLMOps toolkit lies the innovative Prompt Playground, a dynamic space where Prompt Engineers can embark on expedited explorations. comet_llm.log_prompt( prompt="Hey,What's your name?

Large Language Models 52

Large Language Models LLM Metadata Deep Learning 52

Heartbeat

FEBRUARY 8, 2024

LangChain loads training data in the form of ‘Documents’, and these contain text from various sources and their respective metadata. Tracking and Monitoring with Comet When creating applications with LLMs, most of the time is spent on prompt engineering rather than training the models.

Conversational AI 52

Conversational AI Chatbots LLM Prompt Engineer 52

Heartbeat

DECEMBER 15, 2023

Let’s explain exactly how it works and what this means for embedding documents into a vector database. ", "What alternative reasons might explain why students cheat, according to the article?", We’re committed to supporting and inspiring developers and engineers from all walks of life.

AI Chatbots 52

AI Chatbots LLM Chatbots NLP 52

Viso.ai

MARCH 12, 2024

Education and Training: Explainer videos and simulations that can be generated for children, students, and employees for interactive learning. Metadata for Transparency: C2PA metadata (identifying AI-generated content) will be included in future deployments. will test Sora to identify potential risks.

OpenAI 52

OpenAI Metadata Deep Learning Prompt Engineer 52

Heartbeat

DECEMBER 13, 2023

', args_schema=None, return_direct=False, verbose=False, callbacks=None, callback_manager=None, tags=None, metadata=None, handle_tool_error=False, api_wrapper=WikipediaAPIWrapper(wiki_client=<module 'wikipedia' from '/usr/local/lib/python3.10/dist-packages/wikipedia/__init__.py'>, Input should be a search query.',

LLM 52

LLM Metadata Deep Learning Automation 52

Heartbeat

NOVEMBER 8, 2023

This gives you access to metadata like the number of tokens used. We’re committed to supporting and inspiring developers and engineers from all walks of life. '}] generate is similar to apply, except it returns an LLMResult instead of a string. We pay our contributors, and we don’t sell ads.

LLM 52

LLM OpenAI Data Scientist Prompt Engineer 52