manishmshiva

7 ms·

1.
by manishmshiva 6mo ago
Learn how to build, debug, and ship code faster using a terminal-based AI agent that understands your entire codebase.
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by manishmshiva 8mo ago
True, but I cannot get feedback from (potential) users. I want to build a simple dashboard to see completion rates for individuals (via optional login) but this is V1 for now.
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Show HN:I made yet another ToDo App(priorities.fyi)
1 points by manishmshiva 8mo ago|3 comments
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by manishmshiva 8mo ago
Yes, there are thousands of to-do apps, but nothing that lets me create a simple checklist and share it with my team (without ads, login and other distractions). So I created one myself to do just one thing - create a list of items (max 10
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by manishmshiva 11mo ago
Learn how Langchain turns a simple prompt into a fully functional AI agent that can think, act and remember.
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by manishmshiva 11mo ago
A guide to understanding Python Poetry, how it works, and how to use it in your next Python project.
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by manishmshiva 11mo ago
Microsoft just solved the hidden cost problem in AI with LLMLingua, making large language models faster, cheaper, and smarter.
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by manishmshiva 1y ago
Learn how to connect Tavily Search so your AI can fetch real-time facts instead of guessing.
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by manishmshiva 1y ago
Tired of LLMs breaking your JSON or skipping fields? Learn how Pydantic can turn messy AI outputs into clean, predictable data every single time.
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by manishmshiva 1y ago
Learn how small language models are helping teams cut AI costs, run locally, and deliver fast, private, and scalable intelligence without relying on the cloud.
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by manishmshiva 1y ago
Learn how to install and run open-source large language models (LLMs) locally on Windows — with or without the command line.
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by manishmshiva 1y ago
Learn how LangChain and LangGraph help you design intelligent, adaptive AI workflows that move from simple prompts to full applications.
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by manishmshiva 1y ago
Learn how to build your first MCP server using FastMCP and connect it to a large language model to perform real-world tasks through code.
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OpenCode Is Changing How Developers Build Software(turingtalks.beehiiv.com)
2 points by manishmshiva 1y ago|0 comments
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by manishmshiva 1y ago
Cosine similarity measures the angle between vectors to compare meaning in text. This simple math powers LLMs, enabling search, recommendation systems, and semantic understanding.
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by manishmshiva 1y ago
Sentence similarity helps computers understand how close two sentences are in meaning. Let’s learn how to do it using Sentence Transformers
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by manishmshiva 1y ago
Learn how to turn your machine learning models into interactive, shareable web apps in minutes.
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by manishmshiva 1y ago
The AI models we rave about today didn’t start with transformers or neural nets. They started with something almost embarrassingly simple: counting words. The Bag of Words model ignored meaning, context, and grammar — yet it was the spark t
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Show HN: Transform User Stories into Comprehensive Specs in Seconds(storyspec.xyz)
2 points by manishmshiva 3y ago|0 comments
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How to Build a Simple Sentiment Analyzer Using Hugging Face Transformer(turingtalks.ai)
5 points by manishmshiva 3y ago|3 comments
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Hugging Face's Transformer Library: A Game-Changer in NLP(turingtalks.substack.com)
1 points by manishmshiva 3y ago|0 comments
22.
Tools You Should Know as a Cybersecurity Engineer(stealthsecurity.substack.com)
3 points by manishmshiva 3y ago|1 comments
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by manishmshiva 3y ago
From scanning to post-exploitation, there are numerous tools that help you accomplish your goal as a penetration tester. Here are ten tools you must know if you are into cybersecurity.
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by manishmshiva 3y ago
K-means clustering is a powerful technique that helps discover hidden patterns and groupings in datasets. Let’s look at how it works.
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Hugging Face's Transformer Library: A Game-Changer in NLP(turingtalks.substack.com)
9 points by manishmshiva 3y ago|1 comments
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by manishmshiva 3y ago
Learn why the Hugging Face’s Transformer Library is a game-changer in NLP for developers and researchers alike.
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by manishmshiva 3y ago
From translating languages to driving advanced models like pre-trained transformers, learn how computers decode and derive context from our language.
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by manishmshiva 3y ago
In the rapidly evolving landscape of Artificial Intelligence (AI), staying informed of legal mandates is important. Learn how businesses can harness AI’s potential while ensuring ethical and legal compliance.
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by manishmshiva 3y ago
From translating languages to driving advanced models like pre-trained transformers, learn how computers decode and derive context from our language.
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by manishmshiva 3y ago
Word embeddings are an integral part of natural language processing (NLP) and Generative Pre-trained Transformers (GPT). Let's look at how they work.

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