Mlearning.ai

MARCH 16, 2023

So, they provided their huge image database to OpenAI & LG to train AI-generating tools. There are real concerns with respect to the copyright of outputs from these models and unaddressed rights issues with respect to the imagery, the image metadata and those individuals contained within the imagery.

AI 98

AI AI AI Tools Prompt Engineer 98

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 76

Large Language Models LLM Machine Learning Automation 76

Unite.AI

AUGUST 4, 2023

In this article, we will delve deeper into these issues, exploring the advanced techniques of prompt engineering with Langchain, offering clear explanations, practical examples, and step-by-step instructions on how to implement them. Prompts play a crucial role in steering the behavior of a model.

Prompt Engineer 245

Prompt Engineer Prompt Engineering Python NLP 245

Bugra Akyildiz

MARCH 16, 2024

Of course, all of the things that control vector does can be done through prompt engineering as well as one can consider control vector to be an “addition” to the prompt that is provided by the user. This is where metadata comes in. Metadata is essentially data about data.

Metadata 59

Metadata LLM Machine Learning Python 59

Viso.ai

MARCH 12, 2024

Sora is a text-to-video artificial intelligence model developed by OpenAI that can create realistic and imaginative scenes from text instructions. OpenAI considers Sora as a path towards creating a simulator for the physical and digital world. How Does OpenAI’s Sora Work? How Does Sora Generate Video From Text?

OpenAI 52

OpenAI Metadata Deep Learning Prompt Engineer 52

ODSC - Open Data Science

OCTOBER 6, 2023

Be sure to check out his talk, “ Prompt Optimization with GPT-4 and Langchain ,” there! The difference between the average person using AI and a Prompt Engineer is testing. Most people run a prompt 2–3 times and find something that works well enough. In an industry where time is money, this feature is invaluable.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Python Data Science 52

Heartbeat

SEPTEMBER 19, 2023

family developed by OpenAI. 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.

Large Language Models 52

Large Language Models Metadata LLM Data Scientist 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 LLM Large Language Models 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. pip install langchain openai comet_ml comet-llm textstat tiktoken faiss-gpu``` Chat Models As discussed above, chat models are backed by LLMs such as GPT or Anthropic. Run the following command: !pip

Conversational AI 52

Conversational AI Chatbots LLM Prompt Engineer 52

deepsense.ai

MAY 26, 2023

We decided to use OpenAI as an external component as it suited our needs best. A great way to see what a token is would be to visit the OpenAI tokenizer page which graphically displays it for your text. Providers of services like OpenAI and Azure provide some black-box moderation – but that’s not enough.

OpenAI 52

OpenAI Neural Network Prompt Engineer Prompt Engineering 52

AWS Machine Learning Blog

SEPTEMBER 15, 2023

Often, these LLMs require some metadata about available tools (descriptions, yaml, or JSON schema for their input parameters) in order to output tool invocations. This approach is taken by agents for Amazon Bedrock and OpenAI function calls. We use prompt engineering only and Flan-UL2 model as-is without fine-tuning.

LLM 102

LLM Prompt Engineer Prompt Engineering Large Language Models 102

John Snow Labs

OCTOBER 12, 2023

It also pre-fills the model form with model metadata, usage code, and example results as much as possible. While NLP Lab has previously provided support for prompt engineering, the feature was restricted to users with license keys. The latest version reinstates auto-refresh after task editing is complete.

NLP 52

NLP Auto-complete Auto-classification Prompt Engineer 52

Heartbeat

DECEMBER 15, 2023

Even if the text is cleaner, other aspects, like how the loader interfaces with the language model, the handling of metadata, and the overall synergy with the RAG process, are crucial. Let’s write some code! Start with some preliminaries and setting the environment.

AI Chatbots 52

AI Chatbots LLM Chatbots NLP 52

Snorkel AI

MARCH 2, 2023

It came to its own with the creation of the transformer architecture: Google’s BERT, OpenAI, GPT2 and then 3, LaMDA for conversation, Mina and Sparrow from Google DeepMind. We have adaptation, we have experimentation, and in the training and hyperparameter optimization phases, deploying, monitoring and managing, and prompt engineering.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Neural Network 52

Snorkel AI

MARCH 2, 2023

It came to its own with the creation of the transformer architecture: Google’s BERT, OpenAI, GPT2 and then 3, LaMDA for conversation, Mina and Sparrow from Google DeepMind. We have adaptation, we have experimentation, and in the training and hyperparameter optimization phases, deploying, monitoring and managing, and prompt engineering.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Neural Network 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. from langchain.output_parsers import CommaSeparatedListOutputParser llm = OpenAI(temperature=0) # the prompt template prompt_template = "Act like a Captain Obvious and list 5 funny things to not do at {place}?" llm = OpenAI(temperature=.7)

LLM 52

LLM OpenAI Data Scientist Prompt Engineer 52