EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Lobsters·Sep 2·5 min read
Let's build a compressor from scratch
TL;DR
A custom data compressor was developed that efficiently reduces file sizes by transforming data into a more compact binary format. This approach demonstrates significant space savings, as seen in the example of compressing boolean arrays.
✦ Why It Matters
Consider implementing custom compression techniques to optimize data storage in your applications today.
Key Takeaways
- Explore Huffman coding for efficient data representation.
- Implement a simple compressor to grasp compression principles.
- Test compression ratios against existing tools like gzip.
- Understand the limitations of custom compression algorithms.
How It Works
ABC uses Huffman coding to create a mapping of byte frequencies to shorter bit sequences. It processes the input data by replacing each byte with its corresponding bit sequence, resulting in a compressed output.
The mapping is stored at the beginning of the output stream for decompression.