ToolBench
yyjson
ToolBench | yyjson | |
---|---|---|
3 | 5 | |
4,455 | 2,875 | |
3.7% | - | |
8.3 | 7.4 | |
5 days ago | 7 days ago | |
Python | C | |
Apache License 2.0 | MIT License |
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ToolBench
- FLaNK Stack Weekly for 07August2023
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[R] ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs - WeChat AI, Tencent Inc. 2023 - Open-source! Comparble performance to ChatGPT while using tools!
Github: https://github.com/OpenBMB/ToolBench
- [N] ToolBench is a set of data and tools that you can use to further customize and improve your language model (LLM).
yyjson
- FLaNK Stack Weekly for 07August2023
- yyjson: A high performance C JSON library
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Show HN: Up to 100x Faster FastAPI with simdjson and io_uring on Linux 5.19
How does yyjson[0] compare to simdjson? Their benchmarks suggest it could be a positive.
[0] https://github.com/ibireme/yyjson
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Why is my program segfaulting?
Also I am using these libraries: JSON: https://github.com/ibireme/yyjson Networking: https://curl.se/libcurl/
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How to parse JSON in C ?
If you need speed, by far yyjson. But it sounds like you probably don't need speed, so the other suggestions are likely better.
What are some alternatives?
gorilla-cli - LLMs for your CLI
json-c - https://github.com/json-c/json-c is the official code repository for json-c. See the wiki for release tarballs for download. API docs at http://json-c.github.io/json-c/
NiFi-Man - Like Travel Man, But With Data. The Data is Here, But Should We Have Ingested it?
cJSON - Ultralightweight JSON parser in ANSI C
EverythingApacheNiFi - EverythingApacheNiFi
JSMN - Jsmn is a world fastest JSON parser/tokenizer. This is the official repo replacing the old one at Bitbucket
harlequin - The SQL IDE for Your Terminal.
parson - Lightweight JSON library written in C.
flink-kubernetes-operator - Apache Flink Kubernetes Operator
ultrajson - Ultra fast JSON decoder and encoder written in C with Python bindings
anomalib - An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.