Snorkel AI

JANUARY 9, 2024

Simplified onboarding with enhanced documentation In this release, we’ve dedicated considerable effort to simplifying and streamlining the critical initial phases of AI development. Register for the next Enterprise LLM Virtual Summit! Register for Enterprise LLM Summit: Building GenAI with Your Data summit here.

Metadata 52

Metadata Machine Learning LLM AI Developer 52

Snorkel AI

JANUARY 9, 2024

Simplified onboarding with enhanced documentation In this release, we’ve dedicated considerable effort to simplifying and streamlining the critical initial phases of AI development. Register for the next Enterprise LLM Virtual Summit! Register for Enterprise LLM Summit: Building GenAI with Your Data summit here.

Metadata 52

Metadata Machine Learning LLM AI Developer 52

deepsense.ai

SEPTEMBER 11, 2023

There is an increased demand in the job market for developers who are capable of adopting AI tools and willing to do so, with employers valuing the higher efficiency and enriched skill set that these individuals bring to the table. First and foremost, acquaint yourself with the general architecture of LLM models.

AI Developer 81

AI Developer AI Development Generative AI Software Engineer 81

IBM Journey to AI blog

JANUARY 9, 2024

Companies still often accept the risk of using internal data when exploring large language models (LLMs) because this contextual data is what enables LLMs to change from general-purpose to domain-specific knowledge. In the generative AI or traditional AI development cycle, data ingestion serves as the entry point.

Data Ingestion 199

Data Ingestion Data Integration Data Quality LLM 199

AWS Machine Learning Blog

NOVEMBER 30, 2023

Amazon SageMaker Clarify now provides AWS customers with foundation model (FM) evaluations, a set of capabilities designed to evaluate and compare model quality and responsibility metrics for any LLM, in minutes. FMEval helps in measuring evaluation dimensions such as accuracy, robustness, bias, toxicity, and factual knowledge for any LLM.

Large Language Models 88

Large Language Models LLM Algorithm Responsible AI 88

AWS Machine Learning Blog

SEPTEMBER 28, 2023

This means companies need loose coupling between app clients (model consumers) and model inference endpoints, which ensures easy switch among large language model (LLM), vision, or multi-modal endpoints if needed. This table will hold the endpoint, metadata, and configuration parameters for the model.

Generative AI 96

Generative AI Metadata AI AI 96

Unite.AI

AUGUST 4, 2023

This, coupled with the challenges of understanding AI concepts and complex algorithms, contributes to the learning curve associated with developing applications using LLMs. Nevertheless, the integration of LLMs with other tools to form LLM-powered applications could redefine our digital landscape.

Prompt Engineer 245

Prompt Engineer Prompt Engineering Python NLP 245

ODSC - Open Data Science

OCTOBER 6, 2023

This might sound like table stakes, but you’d be surprised how often this is overlooked in the AI development space. Logging LangSmith provides detailed logs that capture not just the output, but also valuable metadata. Standard Convention LangChain adheres to industry-standard coding practices.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Python Data Science 52

NVIDIA

NOVEMBER 17, 2023

NVIDIA and cloud service provider (CSP) Scaleway are working together to deliver access to GPUs, NVIDIA AI Enterprise software, and services for turbocharging large language models (LLMs) and generative AI development for European startups. When doing business in Europe, U.S.

Metadata 129

Metadata Large Language Models Generative AI Software Development 129