Artificial Corner

JANUARY 25, 2024

complete def fibonacci Another thing I really like is that Copilot doesn't just stop after giving a response. Instead of just focusing on code completion, it hones in on testing our code and providing us with ways to make it better. It's like having a coding guru on standby, ready to jump in with insights or solutions.

Auto-complete 111

Auto-complete ChatGPT Explainability Prompt Engineer 111

AWS Machine Learning Blog

FEBRUARY 19, 2024

In this post, we walk through how to use the Titan Image Generator and Titan Multimodal Embeddings models via the AWS Python SDK. Code examples are provided in Python, and JavaScript (Node.js) is also available in this GitHub repository. For Python scripts, you can use the AWS SDK for Python (Boto3).

Auto-complete 119

Auto-complete Python Computer Vision Generative AI 119

AWS Machine Learning Blog

APRIL 20, 2023

A complete example is available in our GitHub notebook. Python SDK support for Inference Recommender We recently released Python SDK support for Inference Recommender. This greatly simplifies the use of Inference Recommender using the Python SDK. This functionality is not supported in the Python SDK yet.

ML 91

ML Auto-classification Python Auto-complete 91

Marktechpost

MARCH 6, 2025

Whether you’re interfacing with models remotely or running them locally, understanding key techniques like prompt engineering and output structuring can substantially improve performance for your specific applications. Copy Code Copied Use a different Browser # First, install the Anthropic Python library !pip

Large Language Models 52

Large Language Models Auto-complete Prompt Engineer Prompt Engineering 52

The MLOps Blog

JUNE 27, 2023

For example, if your team is proficient in Python and R, you may want an MLOps tool that supports open data formats like Parquet, JSON, CSV, etc., The platform also offers features for hyperparameter optimization, automating model training workflows, model management, prompt engineering, and no-code ML app development.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

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 Engineer 93

Prompt Engineer Prompt Engineering Deep Learning Machine Learning 93

AWS Machine Learning Blog

APRIL 16, 2024

Jupyter notebooks can differentiate between SQL and Python code using the %%sm_sql magic command, which must be placed at the top of any cell that contains SQL code. This command signals to JupyterLab that the following instructions are SQL commands rather than Python code. For Secret type , choose Other type of secret.

Data Scientist 109

Data Scientist Generative AI Machine Learning ML 109

Mlearning.ai

JULY 3, 2023

Life however decided to take me down a different path (partly thanks to Fujifilm discontinuing various films ), although I have never quite completely forgotten about glamour photography. Denoising Process Summary Text from a prompt is tokenized and encoded numerically. Image created by the author. pipe = pipe.to(device_name)

Generative AI 52

Generative AI Auto-complete Auto-classification AI 52

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. huggingface-cli login Import the necessary Python libraries. pip install transformers !huggingface-cli

ChatGPT 287

ChatGPT Auto-complete Large Language Models LLM 287

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. bedrock-python-sdk-reinvent/botocore-*.whl

Auto-complete 122

Auto-complete NLP Prompt Engineer Prompt Engineering 122

AWS Machine Learning Blog

NOVEMBER 1, 2023

Additionally, you benefit from advanced features like auto scaling of inference endpoints, enhanced security, and built-in model monitoring. TGI is implemented in Python and uses the PyTorch framework. This post proposes Auto-CoT, which samples questions with diversity and generates reasoning chains to construct the demonstrations.

Auto-classification 112

Auto-classification LLM Auto-complete Generative AI 112

Topbots

JUNE 29, 2023

Most employees don’t master the conventional data science toolkit (SQL, Python, R etc.). On a more advanced stance, everyone who has done SQL query optimisation will know that many roads lead to the same result, and semantically equivalent queries might have completely different syntax.

Algorithm 52

Algorithm Auto-complete Data Scientist Auto-classification 52

AWS Machine Learning Blog

FEBRUARY 3, 2025

By using a combination of transcript preprocessing, prompt engineering, and structured LLM output, we enable the user experience shown in the following screenshot, which demonstrates the conversion of LLM-generated timestamp citations into clickable buttons (shown underlined in red) that navigate to the correct portion of the source video.

UX Design 90

UX Design Auto-complete LLM Prompt Engineer 90