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ashioyajotham/README.md

πŸ”­ Currently Working On

  • Building assistants for information synthesis and coding
  • Quant/Algorithmic trading
  • ML Systems Design
  • Data Science

🌱 Research Interests

  • MLOps & System Design
  • AI Safety (red-teaming, mech interp and alignment)
  • Foundation Models (confabulations ["hallucinations"], reasoning, knowledge-encoding)
  • World models (video generation models, physical/embodied AI, spatial intelligence etc)

πŸ“ Latest Blog Posts

β–Ά Read more on Substack


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πŸ“ˆ GitHub Analytics

⚑ Recent GitHub Activity
Ashioya's Activity Graph

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  1. fingpt_trader fingpt_trader Public template

    A quant trading system platform based on FinGPT, demonstrating new applications of large pre-trained Language Models in quantitative finance.

    Python 19 7

  2. web_research_agent web_research_agent Public

    Research implementation exploring dynamic task analysis and multi-strategy synthesis in the ReAct paradigm. Demonstrates how systems can adapt their reasoning approach based on question structure w…

    Python 1 1

  3. cot-faithfulness-mech-interp cot-faithfulness-mech-interp Public

    Mechanistic analysis of Chain-of-Thought faithfulness using GPT-2 Small

    Jupyter Notebook 2

  4. Value-Aligned-Confabulation-VAC-Research Value-Aligned-Confabulation-VAC-Research Public

    Driving away from the binary "hallucinations" evals to a more nuanced and context-dependent eval technique.

    Python

  5. greater-than-circuit greater-than-circuit Public

    Reverse engineering the circuit responsible for the "greater than" capability in a language model

    Python

  6. weather_forecasting_lora weather_forecasting_lora Public

    How close can LoRA get to full fine-tuning (FullFT) in terms of learning speed, performance, and compute tradeoffs? And under what conditions?

    Python