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. Below is a video that showcases the actual run of the generated game code.

Python 328

Python Software Development OpenAI Software Engineer 328

Towards AI

APRIL 7, 2024

Instead of formalized code syntax, you provide natural language “prompts” to the models When we pass a prompt to the model, it predicts the next words (tokens) and generates a completion. 2022 where, instead of adding examples for Few Shot CoT, we just add “Let’s think step by step” to the prompt. Source : Wei et al.

LLM 104

LLM Auto-complete Prompt Engineering Prompt Engineer 104

AWS Machine Learning Blog

MAY 17, 2023

SageMaker endpoints are fully managed and support multiple hosting options and auto scaling. Complete the following steps: On the Amazon S3 console, choose Buckets in the navigation pane. From the list of S3 buckets, choose the S3 bucket created by the CloudFormation template named meeting-note-generator-demo-bucket-.

Large Language Models 82

Large Language Models Auto-complete ML Generative AI 82

AWS Machine Learning Blog

APRIL 17, 2023

Prompt engineering Prompt engineering refers to efforts to extract accurate, consistent, and fair outputs from large models, such text-to-image synthesizers or large language models. For more information, refer to EMNLP: Prompt engineering is the new feature engineering.

Prompt Engineering 93

Prompt Engineering Prompt Engineer Deep Learning Machine Learning 93

The MLOps Blog

JUNE 27, 2023

The platform also offers features for hyperparameter optimization, automating model training workflows, model management, prompt engineering, and no-code ML app development. Can you see the complete model lineage with data/models/experiments used downstream? Is it fast and reliable enough for your workflow?

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

Unite.AI

SEPTEMBER 4, 2023

Technical Deep Dive of Llama 2 For training the Llama 2 model; like its predecessors, it uses an auto-regressive transformer architecture , pre-trained on an extensive corpus of self-supervised data. For those interested in experiencing this, a live demo is available at Llama2.ai. For this guide, we use meta-llama/Llama-2-7b-chat-hf.

ChatGPT 290

ChatGPT Auto-complete Large Language Models LLM 290

AWS Machine Learning Blog

MARCH 19, 2024

Furthermore, the use of prompt engineering can notably enhance their performance. To additionally boost accuracy on tasks that involve reasoning, a self-consistency prompting approach has been suggested, which replaces greedy with stochastic decoding during language generation. Access to models hosted on Amazon Bedrock.

Auto-complete 122

Auto-complete NLP Prompt Engineering Prompt Engineer 122