Unite.AI

AUGUST 1, 2023

The spotlight is also on DALL-E, an AI model that crafts images from textual inputs. Prompt design and engineering are growing disciplines that aim to optimize the output quality of AI models like ChatGPT. Our exploration into prompt engineering techniques aims to improve these aspects of LLMs.

Prompt Engineer 246

Prompt Engineer Prompt Engineering ChatGPT Convolutional Neural Networks 246

ODSC - Open Data Science

AUGUST 24, 2023

Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices Editor’s note: Jayachandran Ramachandran and Rohit Sroch are speakers for ODSC APAC this August 22–23. Various prompting techniques, such as Zero/Few Shot, Chain-of-Thought (CoT)/Self-Consistency, ReAct, etc.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Responsible AI 52

Unite.AI

AUGUST 28, 2023

With advancements in deep learning, natural language processing (NLP), and AI, we are in a time period where AI agents could form a significant portion of the global workforce. These AI agents, transcending chatbots and voice assistants, are shaping a new paradigm for both industries and our daily lives.

Auto-complete 240

Auto-complete ChatGPT Large Language Models AI 240

Unite.AI

SEPTEMBER 4, 2023

Developed by Meta with its partnership with Microsoft, this open-source large language model aims to redefine the realms of generative AI and natural language understanding. One that stresses an open-source approach as the backbone of AI development, particularly in the generative AI space.

ChatGPT 290

ChatGPT Auto-complete Large Language Models LLM 290

AWS Machine Learning Blog

MARCH 19, 2024

Generative language models have proven remarkably skillful at solving logical and analytical natural language processing (NLP) tasks. Furthermore, the use of prompt engineering can notably enhance their performance. In particular, CoT has been shown to elicit reasoning in complex NLP tasks. split("/")[-1]}.out'

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Auto-complete NLP Prompt Engineer Prompt Engineering 96

Unite.AI

SEPTEMBER 11, 2023

Agile Development SOPs act as a meta-function here, coordinating agents to auto-generate code based on defined inputs. In simple terms, it's as if you've turned a highly coordinated team of software engineers into an adaptable, intelligent software system.

Python 328

Python OpenAI Software Development Software Engineer 328

AWS Machine Learning Blog

DECEMBER 5, 2023

Customers can create the custom metadata using Amazon Comprehend , a natural-language processing (NLP) service managed by AWS to extract insights about the content of documents, and ingest it into Amazon Kendra along with their data into the index. For example, metadata can be used for filtering and searching. append(e["Text"].upper())

Metadata 93

Metadata Auto-classification Auto-complete Content Enrichment 93