Quantization is one of the most common techniques to make language models smaller and more practical. The idea is simple – instead of storing model weights with high numerical precision, these are replaced with lower precision approximations. This reduces the …
Searching through 399 documents or 40 web pages (the numbers are not random) can be a tough task if you rely on standard tools like ctrl+f. When the data grows, you need a dedicated search engine that understands relevance, handles …
BFS, DFS, A-Star – these sound like magic spells from a Harry Potter book! And actually, these are magical (especially the A-Star) as far as they are well-defined algorithms, that explore a graph. In our previous article, we have explored …
Breadth-First Search (BFS) algorithm with Python Read more →
Sliding tile puzzle is something that is actually easy, if you are a fan of the Rubic Cube. And if you want to solve it with IDA* (iterative Deepening A*) and with Manhattan heuristic, this is the correct place. The …