corpus.blog
41554 blogs · [ { "id": "01a08797-3ba0-7102-86dd-3abad767e597", "title": "Non Violent Communication", "url": "https://kshitijbanerjee.com/2025/02/25/non-violent-communication/", "published_at": "2025-02-25T00:00:00+00:00" }, { "id": "01a08797-3ba0-7102-86dd-3abad85d19ac", "title": "Syncing historical data from IBKR", "url": "https://kshitijbanerjee.com/2025/02/01/syncing-historical-data-from-ibkr/", "published_at": "2025-02-01T00:00:00+00:00" }, { "id": "01a08797-3ba0-7102-86dd-3abad86fab90", "title": "Statistical learnings from a failed 2024 santa rally", "url": "https://kshitijbanerjee.com/2025/01/01/statistical-learnings-from-a-failed-2024-santa-rally/", "published_at": "2025-01-01T00:00:00+00:00" }, { "id": "01a08797-3ba0-7102-86dd-3abad93c21b6", "title": "Adventures in ML trading - Part 2", "url": "https://kshitijbanerjee.com/2024/12/25/adventures-in-ml-trading-part-2/", "published_at": "2024-12-25T00:00:00+00:00" }, { "id": "01a08797-3ba0-7102-86dd-3abad9c89647", "title": "Adventures in ML trading - Part 1", "url": "https://kshitijbanerjee.com/2024/12/19/adventures-in-ml-trading-part-1/", "published_at": "2024-12-19T00:00:00+00:00" }, { "id": "01a08797-3ba0-7102-86dd-3abada93561e", "title": "June 2024 - Papers on Agents, Fine-tuning and reasoning", "url": "https://kshitijbanerjee.com/2024/06/22/june-2024-papers-on-agents-fine-tuning-and-reasoning/", "published_at": "2024-06-22T00:00:00+00:00" }, { "id": "01a08797-3ba0-7102-86dd-3abadae73cad", "title": "Evaluating LLM Benchmarks for React", "url": "https://kshitijbanerjee.com/2024/05/04/evaluating-llm-benchmarks-for-react/", "published_at": "2024-05-04T00:00:00+00:00" }, { "id": "01a08797-3ba0-7102-86dd-3abadafcf7b0", "title": "Can LLM's produce better code?", "url": "https://kshitijbanerjee.com/2024/04/30/can-llms-produce-better-code/", "published_at": "2024-04-30T00:00:00+00:00" }, { "id": "01a08797-3ba0-7102-86dd-3abadbf7c5fd", "title": "Deepseek coder - Can it code in React?", "url": "https://kshitijbanerjee.com/2024/04/15/deepseek-coder-can-it-code-in-react/", "published_at": "2024-04-15T00:00:00+00:00" }, { "id": "01a08797-3ba0-7102-86dd-3abadbfab1fe", "title": "Exploring Code LLMs - Instruction fine-tuning, models and quantization", "url": "https://kshitijbanerjee.com/2024/04/14/exploring-code-llms/", "published_at": "2024-04-14T00:00:00+00:00" }, { "id": "01a08797-3ba0-7102-86dd-3abadc6d305d", "title": "Build - Tony Fadell", "url": "https://kshitijbanerjee.com/2024/02/24/build-tony-fadell/", "published_at": "2024-02-24T00:00:00+00:00" }, { "id": "01a08797-3ba0-7102-86dd-3abadcdcc090", "title": "Getting Things Done with LogSeq", "url": "https://kshitijbanerjee.com/2024/02/16/getting-things-done/", "published_at": "2024-02-16T00:00:00+00:00" }, { "id": "01a08797-3ba0-7102-86dd-3abadd7b1069", "title": "Understanding GPT 1, 2 and 3", "url": "https://kshitijbanerjee.com/2023/10/01/understanding-gpt-1-2-3/", "published_at": "2023-10-01T00:00:00+00:00" }, { "id": "01a08797-3ba0-7102-86dd-3abade054779", "title": "Understanding GPT - Transformers", "url": "https://kshitijbanerjee.com/2023/07/07/understanding-gpt-transformers/", "published_at": "2023-07-07T00:00:00+00:00" }, { "id": "01a08797-3ba0-7102-86dd-3abade94faa7", "title": "Understanding GPT - A Journey from RNNs to Attention", "url": "https://kshitijbanerjee.com/2023/06/18/understanding-gpt-rnn-attention/", "published_at": "2023-06-18T00:00:00+00:00" }, { "id": "01a08797-3ba0-7102-86dd-3abadf578faa", "title": "Loss Functions in ML", "url": "https://kshitijbanerjee.com/2023/02/18/loss-functions-in-ml/", "published_at": "2023-02-18T00:00:00+00:00" }, { "id": "01a08797-3ba0-7102-86dd-3abadf845bd7", "title": "Python Cheet Sheet", "url": "https://kshitijbanerjee.com/2023/01/02/python-cheet-sheet/", "published_at": "2023-01-02T00:00:00+00:00" }, { "id": "01a08797-3ba0-7102-86dd-3abadf87fc3d", "title": "Grit - Angela Duckworth", "url": "https://kshitijbanerjee.com/2022/12/12/grit-angela-duckworth/", "published_at": "2022-12-12T00:00:00+00:00" }, { "id": "01a08797-3ba0-7102-86dd-3abae045c9fc", "title": "Largest Area Under a Histogram (and related concepts/problems).", "url": "https://kshitijbanerjee.com/2017/01/30/largest-area-under-a-histogram-and-related-concepts/problems./", "published_at": "2017-01-30T00:00:00+00:00" }, { "id": "01a08797-3ba0-7102-86dd-3abae10b9fbd", "title": "Reverse Engineer data from raw database files.", "url": "https://kshitijbanerjee.com/1/01/01/reverse-engineer-data-from-raw-database-files./", "published_at": null } ] posts Claim your blog
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kshitijbanerjee.com

kshitijbanerjee.com

2025

Non Violent Communicationoriginal ↗
25 Feb 2025
Syncing historical data from IBKRoriginal ↗
1 Feb 2025
Statistical learnings from a failed 2024 santa rallyoriginal ↗
1 Jan 2025

2024

Adventures in ML trading - Part 2original ↗
25 Dec 2024
Adventures in ML trading - Part 1original ↗
19 Dec 2024
June 2024 - Papers on Agents, Fine-tuning and reasoningoriginal ↗
22 Jun 2024
Evaluating LLM Benchmarks for Reactoriginal ↗
4 May 2024
Can LLM's produce better code?original ↗
30 Apr 2024
Deepseek coder - Can it code in React?original ↗
15 Apr 2024
Exploring Code LLMs - Instruction fine-tuning, models and quantizationoriginal ↗
14 Apr 2024
Build - Tony Fadelloriginal ↗
24 Feb 2024
Getting Things Done with LogSeqoriginal ↗
16 Feb 2024

2023

Understanding GPT 1, 2 and 3original ↗
1 Oct 2023
Understanding GPT - Transformersoriginal ↗
7 Jul 2023
Understanding GPT - A Journey from RNNs to Attentionoriginal ↗
18 Jun 2023
Loss Functions in MLoriginal ↗
18 Feb 2023
Python Cheet Sheetoriginal ↗
2 Jan 2023

2022

Grit - Angela Duckworthoriginal ↗
12 Dec 2022

2017

Largest Area Under a Histogram (and related concepts/problems).original ↗
30 Jan 2017

Undated

Reverse Engineer data from raw database files.original ↗
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