Unite.AI

JANUARY 26, 2024

On complementary side wrt to the software architect side; to enable faster deployment of LLMs researchers have proposed serverless inference systems. In serverless architectures, LLMs are hosted on shared GPU clusters and allocated dynamically based on demand. This transfers orders of magnitude less data than snapshots.

Large Language Models 241

Large Language Models LLM Software Architect Chatbots 241

Flipboard

DECEMBER 6, 2023

The following are some of the experiments that were conducted by the team, along with the challenges identified and lessons learned: Pre-training – Q4 understood the complexity and challenges that come with pre-training an LLM using its own dataset. In addition to the effort involved, it would be cost prohibitive.

Chatbots 168

Chatbots LLM Prompt Engineer Prompt Engineering 168

AWS Machine Learning Blog

JULY 18, 2024

has been at the forefront of integrating AI and machine learning (ML) capabilities into its operations. As generative AI continues to advance, its integration with other cutting-edge technologies, such as ML and data analytics, will unlock even more powerful applications in the cybersecurity domain.

Generative AI 128

Generative AI Automation Categorization Software Architect 128

ODSC - Open Data Science

DECEMBER 7, 2023

ML Pros Deep-Dive into Machine Learning Techniques and MLOps Seth Juarez | Principal Program Manager, AI Platform | Microsoft Learn how new, innovative features in Azure machine learning can help you collaborate and streamline the management of thousands of models across teams. Check out a few of the highlights from each group below.

Data Science 98

Data Science Machine Learning Software Architect Algorithm 98

ODSC - Open Data Science

AUGUST 15, 2023

Troubleshooting Search and Retrieval with LLMs Xander Song | Machine Learning Engineer and Developer Advocate | Arize AI Some of the major challenges in deploying LLM applications are the accuracy of results and hallucinations.

Software Architect 52

Software Architect Data Scientist Data Science Machine Learning 52

AWS Machine Learning Blog

SEPTEMBER 9, 2024

The tools provide the agent with access to data and functionality beyond what is available in the underlying LLM. This allows the agent to go beyond the knowledge contained in the LLM and incorporate up-to-date information or perform domain-specific operations. For details, see Identity-based policy examples for Amazon Bedrock.

Software Architect 128

Software Architect Generative AI AI AI 128