Hmmm…Wasted a lot of golden time. I should’ve done my planning better. Got into learning multiple things once and did nothing.

Reading THE BOOK has stopped. I’m currently learning about ML stuff - just to satisfy curiosity about ML eco-system. I got some good resources,

• https://github.com/axolotl-ai-cloud/axolotl - fine tuning library
• https://unsloth.ai/ - fine tuning library
• https://huggingface.co/datasets/mhenrichsen/alpaca_2k_test - dataset example
• https://arxiv.org/pdf/2106.09685 - about lora
• https://github.com/tatsu-lab/stanford_alpaca - dataset format and stuff
• https://huggingface.co/docs/trl/en/sft_trainer - this is the low-level library that axolotl and unsloth use?
• https://huggingface.co/learn/nlp-course/chapter1/1

Hacktoberfest is around the corner. I’m not sure about my participation but let’s see.

I’ve also explored about some low-level stuff about confluent kafka python package for some work purposes and kafka docs as well.

• https://github.com/confluentinc/confluent-kafka-python/blob/master/src/confluent_kafka/src/Consumer.c#L976
• https://docs.kafka-ui.provectus.io/ - a nice ui tool for kafka
• https://docs.confluent.io/kafka-clients/python/current/overview.html - good docs
• https://medium.com/@rramiz.rraza/kafka-programming-different-ways-to-commit-offsets-7bcd179b225a

I’m also exploring and using tmux with iterm2 and it’s been very good experience so far. I’ve also explored podman to run and test few stuff.

I’ve explored few good resources,

• https://python-type-challenges.zeabur.app/basic/typealias - for learning about python typing and stuff
• and read about articles explaining how postgreSQL 17 can improve the speed of queries with in clause

So what now? Keep it simple.

I’ll start exploring THE BOOK soon once I get some free time.

Read this article,

• https://cedardb.com/blog/reducing_data_movement/ and another article from same author about error vs exceptions it was a nice read. Some concepts are new to me but that is fine.