Llama

5 use cases using this technology

5published use cases

4industries

3countries on record

Generative AI

top AI capability

Evidence mix: High 5 · Medium 0 · Low 0 — bands are computed from each record's evidence signals.

Industry

Country

5 use cases

Technology & SoftwareRetrieval-Augmented GenerationLarge Language Models

Circuitry.ai builds RAG chatbots on Databricks to give manufacturers' customers decision intelligence

Circuitry.ai used Delta Lake, Unity Catalog, MLflow and Model Serving on Databricks to build customer-specific retrieval augmented generation chatbots, powered by Llama and DBRX, that let manufacturers of complex products like heavy equipment and automotive parts query proprietary product documentation instead of searching large PDF manuals. The RAG-powered Decision AIdvisor tool cut the time customers spend searching for information by 60-70%.

Circuitry.aiDelta Lake · Unity Catalog · MLflow +3

Technology & SoftwareGenerative AI

Kantar Worldpanel fine-tunes GenAI models on Databricks to generate market-insight training data faster

Kantar Worldpanel used the Databricks Data + AI Platform and MLflow to experiment with Llama, Mistral, GPT-4 and GPT-3.5 for a proof of concept linking receipt descriptions to product barcode names. GPT-4 produced the most accurate outputs (94%), which the team used to automatically generate a training dataset of about 120,000 receipt-to-barcode pairs in a couple of hours to fine-tune a smaller production model.

Kantar WorldpanelDatabricks · MLflow · Unity Catalog +3

Government & Public SectorLarge Language ModelsRetrieval-Augmented GenerationNatural Language Processing

Choctaw Nation preserves its language using a fine-tuned Llama AI translation system on Oracle AI infrastructure

The Choctaw Nation of Oklahoma, whose native language has dwindled to about 300 first-language speakers, built an AI-powered translation application using Oracle Cloud Infrastructure (OCI) Data Science, OCI AI infrastructure, and Oracle APEX. Tribal linguists fine-tuned Meta's Llama large language models to validate translations between English and Choctaw. When a translation request comes in, an AI agent uses the fine-tuned Llama model with retrieval-augmented generation to consult dictionary resources and validated translation databases, generating a proposed translation that human linguists then review and refine. The application can extract and validate translation pairs from historical documents such as 19th-century newspapers and interview transcripts. Using Oracle AI infrastructure and model fine-tuning tools, tribal linguists can process double the translation requests per day compared to the prior manual process, and sensitive language data stays within Choctaw-controlled OCI environments for data residency and cultural protection.

Choctaw Nation of Oklahoma· United StatesOCI Data Science · OCI AI Infrastructure · Oracle APEX +2

AutomotiveGenerative AIComputer VisionLarge Language Models

Ferrari Advances Generative AI for Customer Personalization and Production Efficiency

Ferrari built a car configurator on AWS using LLMs in Amazon Bedrock and Amazon Personalize, letting customers personalize their vehicle across millions of possible configurations with 3D visualization, which increased sales leads and cut configuration times by 20%. Ferrari also fine-tuned Amazon Titan, Claude 3 and Llama models in Bedrock (combined with Amazon SageMaker JumpStart) on its own documentation to power an after-sales generative AI chatbot that classifies and summarizes customer care tickets, and uses Amazon Lookout for Vision to automate quality inspection and defect detection on the assembly line. Generative AI is also used to run vehicle design simulations and text-to-image prototyping to reduce reliance on physical prototypes.

Ferrari S.p.A.· ItalyAmazon Bedrock · Amazon Personalize · Amazon SageMaker JumpStart +5

Financial ServicesGenerative AIMachine LearningDocument Intelligence

CarbonTrail cuts generative AI costs by 88% for sustainable emissions intelligence using Amazon Bedrock

New Zealand-based CarbonTrail built an AI-powered emissions measurement platform and CarbonAPI on AWS, running a document-analysis pipeline on Amazon Bedrock and workloads on AWS Inferentia to process bank-scale invoice and transactional data. The platform achieves an 87% reduction in processing time and 88% lower cost than a comparable GPT-4-with-embeddings approach, and reduces low-confidence classifications by up to 40%. The Bank of New Zealand (BNZ) uses CarbonTrail's CarbonAPI to progress toward measuring emissions across its SME customers.

CarbonTrail· New ZealandAmazon Bedrock · AWS Inferentia · AWS Fargate +3