tiny-world-map
tinyworldmap is a tiny world map for offline-first and low-bandwidth web apps (by tinyworldmap)
llama3
The official Meta Llama 3 GitHub site (by meta-llama)
| tiny-world-map | llama3 | |
|---|---|---|
| 3 | 17 | |
| 1,270 | 20,272 | |
| 15.3% | 15.0% | |
| 8.4 | 8.9 | |
| 8 days ago | 3 days ago | |
| HTML | Python | |
| ODC Open Database License v1.0 | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
tiny-world-map
Posts with mentions or reviews of tiny-world-map.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-22.
- FLaNK AI-April 22, 2024
-
Tiny World Map
edit: OP apparently [fixed it](https://github.com/tinyworldmap/tiny-world-map/issues/6)
6 places now, so it's [accurate to 11cm](
llama3
Posts with mentions or reviews of llama3.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-05-02.
-
Hindi-Language AI Chatbot for Enterprises Using Qdrant, MLFlow, and LangChain
Now, let's start building the next part of the chatbot. In this part, we will be using the LLM from Ollama and integrating it with the chatbot. More particularly, we will be using the Llama-3 model. Llama-3 is Meta's latest and most advanced open-source large language model (LLM). It is the successor to the previous Llama 2 model and represents a significant improvement in performance across a variety of benchmarks and tasks. Llama 3 comes in two main versions - an 8 billion parameter model and a 70 billion parameter model. Llama 3 supports longer context lengths of up to 8,000 tokens.
- FLaNK AI-April 22, 2024
- Meta Llama 3 GitHub
- Mark Zuckerberg himself appears in the list of direct contributors to Llama 3
- Mark Zuckerberg: Llama 3, $10B Models, Caesar Augustus, Bioweapons [video]
-
Llama 3 in [8B and 70B] sizes is out
What is fascinating is how the smaller 8B version outperformed the bigger previus-gen 70B model in every benchmark listed on the model card:
- Llama 3 GitHub Repository
- Meta Llama 3
What are some alternatives?
When comparing tiny-world-map and llama3 you can also consider the following projects:
promptfoo - Test your prompts. Evaluate and compare LLM outputs, catch regressions, and improve prompt quality. [Moved to: https://github.com/promptfoo/promptfoo]