Part 10/10:
Exploring more efficient ways to serialize and store embeddings.
Experimenting with larger vector dimensions as computational resources improve.
This ongoing effort aims to push the boundaries of artificial cognition, emphasizing that natural language and associative memory will underpin future advances.
Closing
Thank you for following along. The project is progressing rapidly, and I look forward to sharing more breakthroughs soon. If interested, please support my work on Patreon or follow for updates. Your engagement helps sustain this cutting-edge exploration into artificial intelligence and cognitive architectures.
Stay tuned!