Heartbeat

DECEMBER 14, 2023

Empowering Conversational AI with Contextual Recall Photo by Fredy Jacob on Unsplash Memory in Agents Memory in Agents is an important feature that allows them to retain information from previous interactions and use it to provide more accurate and context-aware responses. Let’s code! " tools[2].description

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Deep Learning Computer Scientist 52

Heartbeat

NOVEMBER 16, 2023

An In-depth Look into Evaluating AI Outputs, Custom Criteria, and the Integration of Constitutional Principles Photo by Markus Winkler on Unsplash Introduction In the age of conversational AI, chatbots, and advanced natural language processing, the need for systematic evaluation of language models has never been more pronounced.

LLM 52

LLM Chatbots Explainability Deep Learning 52

ODSC - Open Data Science

MAY 1, 2023

Here are a few more sessions: Self-Supervised and Unsupervised Learning for Conversational AI and NLP Modern NLP: Pre-training, Fine-tuning, Prompt Engineering, and Human Feedback Topic Modeling using pre-trained large language model embeddings A Zero-shot 2D Sentiment Model Predicts Clinical Outcome in Psilocybin Therapy for Treatment Resistant Depression (..)

Large Language Models 97

Large Language Models Data Scientist NLP LLM 97

AWS Machine Learning Blog

SEPTEMBER 15, 2023

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. He is passionate about helping companies with AI/ML product development, and the future of LLM agents and co-pilots. He holds B.S.

LLM 101

LLM Prompt Engineer Prompt Engineering Large Language Models 101

AWS Machine Learning Blog

MAY 3, 2023

Generative AI (GenAI) and large language models (LLMs), such as those available soon via Amazon Bedrock and Amazon Titan are transforming the way developers and enterprises are able to solve traditionally complex challenges related to natural language processing and understanding.

Large Language Models 67

Large Language Models Generative AI LLM Chatbots 67

Topbots

SEPTEMBER 11, 2023

The different components of your AI system will interact with each other in intimate ways. For example, if you are working on a virtual assistant, your UX designers will have to understand prompt engineering to create a natural user flow.

AI 59

AI AI UX Design Automation 59

Topbots

MARCH 18, 2024

However, leveraging this technology effectively often hinges on the user’s ability to craft precise and insightful prompts – a skill not everyone possesses. Recognizing this barrier, OpenAI introduced custom GPTs last year, offering a solution that partially addresses this challenge.

AI Tools 52

AI Tools Artificial Intelligence Artificial Intelligence Prompt Engineer 52

Unite.AI

SEPTEMBER 4, 2023

OpenAI has provided an insightful illustration that explains the SFT and RLHF methodologies employed in InstructGPT. This mechanism informed the Reward Models, which are then used to fine-tune the conversational AI model.

ChatGPT 290

ChatGPT Auto-complete Large Language Models LLM 290

Unite.AI

AUGUST 8, 2023

Unlike conventional models which need vast amounts of specific training data, LLMs can generalize from a very limited number of examples (or “shots”) State of Large Language Models (LLMs) as of post-mid 2023 Model Name Developer Parameters Availability and Access Notable Features & Remarks GPT-4 OpenAI 1.5

Generative AI 243

Generative AI ChatGPT Neural Network Convolutional Neural Networks 243

Topbots

JULY 14, 2023

Implementation Notes Here is the basic code structure we could use to prompt ChatGPT from our custom application. import openai import os openai.api_key_path = "/path/to/key" def get_completion(prompt, model="gpt-3.5-turbo"):

ChatGPT 52

ChatGPT Natural Language Processing LLM Prompt Engineer 52

Topbots

JUNE 6, 2023

But with a long-term perspective in mind, even the big companies like Google and OpenAI feel threatened by open-source.[3] Developers can now focus on efficient prompt engineering and quick app prototyping.[11] Email Address * Name * First Last Company * What areas of AI research are you interested in?

LLM 105

LLM ChatGPT Prompt Engineer Prompt Engineering 105