We have data on 96 companies that use LLaMA. The companies using LLaMA are most often found in United States and in the Information Technology and Services industry. LLaMA is most often used by companies with >10000 employees and >1000M dollars in revenue. Our data for LLaMA usage goes back as far as 8 months.
If you’re interested in the companies that use LLaMA, you may want to check out Google Translate API and TensorFlow as well.
Company | Cisco Systems, Inc. |
Website | cisco.com |
Country | United States |
Revenue | >1000M |
Company Size | >10000 |
Company | Lenovo Group Ltd |
Website | lenovo.com |
Country | Hong Kong |
Revenue | >1000M |
Company Size | >10000 |
Company | The University of Texas at Austin |
Website | utexas.edu |
Country | United States |
Revenue | >1000M |
Company Size | >10000 |
Company | |
Website | google.com |
Country | United States |
Revenue | >1000M |
Company Size | >10000 |
Company | Samsung Electronics |
Website | samsung.com |
Country | United States |
Revenue | >1000M |
Company Size | >10000 |
Company | Website | Country | Revenue | Company Size |
---|---|---|---|---|
Cisco Systems, Inc. | cisco.com | United States | >1000M | >10000 |
Lenovo Group Ltd | lenovo.com | Hong Kong | >1000M | >10000 |
The University of Texas at Austin | utexas.edu | United States | >1000M | >10000 |
google.com | United States | >1000M | >10000 | |
Samsung Electronics | samsung.com | United States | >1000M | >10000 |
We use the best indexing techniques combined with advanced data science to monitor the market share of over 15,000 technology products, including Artificial Intelligence. By scanning billions of public documents, we are able to collect deep insights on every company, with over 100 data fields per company at an average. In the Artificial Intelligence category, LLaMA has a market share of about 0.1%. Other major and competing products in this category include:
LLaMA (Large Language Model Meta AI) is an open-source large language model (LLM), released by Meta AI. For its first version, four model sizes were trained - 7, 13, 33 and 65 billion parameters. It is desirable in the large language model space because it requires far less computing power and resources to test new approaches, validate others' work, and explore new use cases. LLaMA 2 is a next generation of Meta AI's open source large language model, which includes model weights and starting code for pretrained and fine-tuned Llama language models - ranging from 7B to 70B parameters. It outperforms other open source language models on many external benchmarks including reasoning, coding, proficiency and knowledge tests.
Looking at LLaMA customers by industry, we find that Information Technology and Services (17%), Computer Software (16%), Higher Education (9%), Internet (6%) and Financial Services (5%) are the largest segments.
47% of LLaMA customers are in United States, 9% are in France, 6% are in India and 5% are in Canada.
Of all the customers that are using LLaMA, a majority (67%) are large (>1000 employees), 11% are small (<50 employees) and 13% are medium-sized.
Of all the customers that are using LLaMA, a majority (66%) are large (>$1000M), 19% are small (<$50M) and 0% are medium-sized.