akashtndn

8 ms·

1.
The Craft of Software Scoping(akashtandon.in)
3 points by akashtndn 12d ago|0 comments
2.
Embedding OpenAI Codex: The App Server and SDKs(akashtandon.in)
1 points by akashtndn 2mo ago|0 comments
3.
Stagehand: The AI-Driven Browser Automation Framework(akashtandon.in)
1 points by akashtndn 2mo ago|0 comments
4.
Show HN: Explain this – agent skills to create HTML explainer for topics or code(github.com)
5 points by akashtndn 2mo ago|0 comments
5.
Turning Strava data and gym photos into a training recap with my coding agent(akashtandon.in)
1 points by akashtndn 3mo ago|0 comments
6.
Debugging in the Age of Agents(akashtandon.in)
4 points by akashtndn 3mo ago|0 comments
7.
Fine-tune FLUX.2 [Klein] with a LoRA under 60 minutes(huggingface.co)
1 points by akashtndn 3mo ago|0 comments
8.
Superpowers: The Anatomy of an Agent Skill(akashtandon.in)
2 points by akashtndn 4mo ago|0 comments
9.
Autotrader – paper trading AI agent for Indian equities(github.com)
1 points by akashtndn 4mo ago|0 comments
10.
Awesome Neuroscience(github.com)
20 points by akashtndn 4mo ago|0 comments
11.
Autotrader: An autonomous paper trading agent, two weeks in(akashtandon.in)
3 points by akashtndn 4mo ago|0 comments
12.
Artemis II: Why Going Back to the Moon Is a Big Deal(akashtandon.in)
1 points by akashtndn 5mo ago|0 comments
13.
DSPy: Programming – Not Prompting – Language Models(akashtandon.in)
2 points by akashtndn 5mo ago|0 comments
14.
Firestore Schema Visualizer(github.com)
1 points by akashtndn 6mo ago|0 comments
15.
Interactive Explainer: Pi and OpenClaw(akashtandon.in)
1 points by akashtndn 6mo ago|0 comments
16.
Fal-AI-skill: Claude Code plugin for working with fal AI(github.com)
1 points by akashtndn 7mo ago|0 comments
17.
Four Years a Founder: Time(akashtandon.in)
3 points by akashtndn 2y ago|0 comments
18.
A 7-Step Guide for doing UX research for AI features(looppanel.com)
1 points by akashtndn 2y ago|0 comments
19.
Lessons from building an AI feature that works – chunking and summarization(akashtandon.in)
2 points by akashtndn 2y ago|0 comments
20.
by akashtndn 2y ago
The prompt isn't relevant to this question though. The quality of output can be improved with better input but in this case, I am curious about the underlying mechanics in the model that leads to such behavior.
21.
Firestore schema visualizer: Schema visualization using GPT-4 and PlantUML(github.com)
3 points by akashtndn 2y ago|0 comments
22.
What's the best explanation for LLMs being almost right when citing sources?
14 points by akashtndn 2y ago|11 comments
23.
Classifying Slack messages with GPT-4(github.com)
1 points by akashtndn 2y ago|0 comments
24.
Awesome Neuroscience on Github(github.com)
1 points by akashtndn 3y ago|0 comments
25.
How to Fine-Tune LLMs in 2024 with Hugging Face(philschmid.de)
2 points by akashtndn 3y ago|0 comments
26.
Reflecting on 2023: The Evolution of Looppanel(changelog.looppanel.com)
1 points by akashtndn 3y ago|0 comments
27.
Brief lessons from using LLM APIs in production(akashtandon.in)
2 points by akashtndn 3y ago|0 comments
28.
Beyond utility – the role of user experience in enterprise software(akashtandon.in)
2 points by akashtndn 3y ago|0 comments
29.
PySpark for NLP workshop – Jupyter notebooks and instructions(github.com)
3 points by akashtndn 3y ago|0 comments
30.
Four habits that you can learn from therapists to have better user conversations(looppanel.com)
3 points by akashtndn 4y ago|0 comments

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