DeepSeek-Coder
nifi
| DeepSeek-Coder | nifi | |
|---|---|---|
| 8 | 36 | |
| 5,567 | 4,460 | |
| 8.9% | 2.9% | |
| 8.6 | 9.9 | |
| about 1 month ago | 2 days ago | |
| Python | Java | |
| MIT License | Apache License 2.0 |
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DeepSeek-Coder
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Meta Llama 3
deepseek-coder-instruct 6.7B still looks like is better than llama 3 8B on HumanEval [0], and deepseek-coder-instruct 33B still within reach to run on 32 GB Macbook M2 Max - Lamma 3 70B on the other hand will be hard to run locally unless you really have 128GB ram or more. But we will see in the following days how it performs in real life.
[0] https://github.com/deepseek-ai/deepseek-coder?tab=readme-ov-...
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Mistral Remove "Committing to open models" from their website
Deepseek (https://github.com/deepseek-ai/DeepSeek-Coder?tab=readme-ov-...) code is MIT and the model license is available too.
- FLaNK Stack 05 Feb 2024
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Stable Code 3B: Coding on the Edge
https://github.com/deepseek-ai/deepseek-coder
33B Instruct doesn’t beat 6.7B Instruct by much but maybe those % improvements mean more for your usage.
I run 6.7B since I have 16GB RAM.
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What the heck is so great about this model?
Deepseek Coder: https://github.com/deepseek-ai/DeepSeek-Coder (Best open source coding model right now)
- Deepseek Coder instruct – 6.7B model beats gpt3.5-turbo in coding
- FLaNK Stack Weekly for 13 November 2023
- DeepSeek-Coder: Has anyone tried this one?
nifi
- FLaNK Stack Weekly 19 Feb 2024
- Ask HN: What are some unpopular technologies you wish people knew more about?
- FLaNK Stack Weekly for 13 November 2023
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Ask HN: What low code platforms are worth using?
Apache NIFI (https://nifi.apache.org/).
It uses the concept of Flow-based programming. Also its so underacknolged but this tool is very flexible. I have used as an Event Bus all the 3rd-Party Integrations.
- Apache Nifi: easy to use, powerful, reliable system to process, distribute data
- Tool decision - What architecture would you choose and why?
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Help with choosing techstack for a new DE team
Presently setting up Apache Nifi + Apache MiNiFi for the ETL portion of my work. NiFi was easy enough to figure out; but the docs for MiNiFi have been a pain due to differences between the Java and C++ versions. I then entirely configured it with the Java version so that it was easier to search for answers for the MiNiFi yaml syntax.
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MS SQL Change Data Capture
Found it
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Is there something like airflow but written in Scala/Java?
Apache Camel Apache Nifi Spring Cloud
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Json splitting and Rerouting (new to nifi)
NIFI, like most Apache projects does most of its discussion on its mailing lists, but also has a slack.
What are some alternatives?
draw-a-ui - Draw a mockup and generate html for it
Logstash - Logstash - transport and process your logs, events, or other data
FT-Merge-Quantize-Infer-CML
superset - Apache Superset is a Data Visualization and Data Exploration Platform
cucim - cuCIM - RAPIDS GPU-accelerated image processing library
meltano
linen.dev - Lightweight Google-searchable Slack alternative for Communities
meltano - Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.
wubloader
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
clipea - 📎🟢 Like Clippy but for the CLI. A blazing fast AI helper for your command line
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum: