Shweta Mishra

AI/ML Engineer & Data Scientist | Automation • Data Pipelines • Cost-Optimized AI Systems
Founder @TechNovaWorld

[Shweta Mishra @ShwetaTechNova]

Open-source AI tool you need to know 📌
​Langflow is an open-source visual IDE for building, testing, and deploying multi-agent workflows & RAG pipelines: https://t.co/IuohlV3Ank
​Bookmark this for visual AI agent building!
​#OpenSource #GitHub #AI

[Shweta Mishra @ShwetaTechNova]

A retrieval layer just beat frontier LLMs on enterprise benchmarks.
​Pinecone Nexus topped the τ-Knowledge benchmark—outperforming raw models from OpenAI & Google. Retrieval beats model scale.
​Are you tuning models or optimizing retrieval?
​#AI #LLM #TechNews

[Shweta Mishra @ShwetaTechNova]

@mindinpanic I’m starting with one core capability: reliable automated data analysis from raw datasets to actionable insights. Once that workflow is solid, I’ll expand based on real user feedback rather than assumptions.

[Shweta Mishra @ShwetaTechNova]

Why do most AI side projects never launch? Scope creep.
​Builders try to add 10 features on day one. Ship 1 single capability that solves a real pain point reliably, then iterate.
​Follow for daily AI & Data Science insights 📌
​#BuildInPublic #DataScience #Career

[Shweta Mishra @ShwetaTechNova]

🚨 AI agents are becoming actual coworkers.

Grok Bot can sign into apps, work across tools, run tasks end-to-end, and keep working while you’re away. The next AI race isn’t just smarter models—it’s autonomous execution.

#AI #AIAgents #LLM #MLOps #TechNews

[Shweta Mishra @ShwetaTechNova]

Struggling to turn raw SQL & Python scripts into interactive data apps?
​Hex combines SQL queries,Python notebooks,and AI copilots into interactive,publishable data apps for your team:https://t.co/FemaYZw2Zo
​What tool do you use to share data apps?
​#AITools #Productivity #Tech

[Shweta Mishra @ShwetaTechNova]

Open-source AI tool you need to know 📌
​vLLM delivers state-of-the-art LLM serving throughput using PagedAttention to optimize KV cache memory: https://t.co/T9YtnlObc0
​Bookmark this to scale your LLM inference!
​#OpenSource #GitHub #AI

[Shweta Mishra @ShwetaTechNova]

The frontier LLM price & latency war just escalated.
​OpenAI slashed GPT-5.6 Sol API prices by 33% ($4/M in, $20/M out) while previewing an Ultrafast mode running 14x faster.
​Will 14x speed unlock real-time agent loops?
​#AI #LLM #TechNews

[Shweta Mishra @ShwetaTechNova]

Hardest shift in my ML mindset? Data quality beats dataset size.
​1,000 clean, verified examples beat 100,000 noisy rows for fine-tuning. Spend your effort curating high-signal data.
​Follow for daily AI & Data Science insights 📌
​#BuildInPublic #DataScience #Career

[Shweta Mishra @ShwetaTechNova]

Spending thousands on RAM-heavy vector DB clusters?
​LanceDB is a serverless vector database embedded directly into Python with disk-backed storage, multimodal data, & SQL:https://t.co/QpeS0imEwH
​Do you prefer embedded vector DBs or cloud clusters?
​#AITools #Productivity #Tech

[Shweta Mishra @ShwetaTechNova]

@vibeonX69 Redis

[Shweta Mishra @ShwetaTechNova]

🚨 AI is moving onto your laptop.
Alibaba just launched Qwen3.8-27B, an open-weight model targeting on-device AI. The shift matters: powerful LLMs are becoming smaller, cheaper, and easier to run locally—changing the economics of AI development.

#AI #LLM #Qwen #MachineLearning

[TechNova World @TechNovaWorldai]

Open-source AI tool you need to know 📌
​Ragas is an open-source evaluation framework that grades RAG pipelines on faithfulness, context recall, & hallucinations: https://t.co/k7q8PxYMJt
​Bookmark this for automated RAG evals!
​#OpenSource #GitHub #AI

[Shweta Mishra @ShwetaTechNova]

The founder of Google’s TPU program just joined Anthropic.
​Anthropic hired Amir Salek to lead its in-house custom silicon effort—signaling that top labs must own their chips, not just rent GPUs.
​Will custom silicon decide who wins the AI race?
​#AI #LLM #TechNews

[Shweta Mishra @ShwetaTechNova]

The 3 most powerful words in AI engineering? "Let's benchmark it."
​In tech, theoretical debates waste hours. Running an empirical test or evaluation run settles architecture choices in minutes.
​Follow for daily AI & Data Science insights 📌
​#BuildInPublic #DataScience #Career

[Shweta Mishra @ShwetaTechNova]

@purvapande Onyx is a strong example of how open-source AI platforms can reduce infrastructure overhead while letting engineering teams focus on product value. The TCO angle is especially interesting here.

[Shweta Mishra @ShwetaTechNova]

Onyx is an open-source AI platform connecting 50+ enterprise apps with Agentic RAG, Deep Research, & custom agents: https://t.co/cVTnu65KZZ
​Bookmark this for self-hosted AI search!
​#OpenSource #GitHub #AI

[Shweta Mishra @ShwetaTechNova]

Open-source AI tool you need to know 📌
​FalkorDB is an ultra-fast Graph database using sparse matrix linear algebra to power low-latency GraphRAG: https://t.co/tjFRFS79ay
​Bookmark this for building fast GraphRAG!
​#OpenSource #GitHub #AI

[Shweta Mishra @ShwetaTechNova]

Claude’s Computer Use & agent stack just reached General Availability (GA).
​Anthropic dropped the beta tag on Computer Use, Browser tools, & Skills API—bringing batch actions to production agents.
​Are you ready to deploy OS-level AI agents?
​#AI #LLM #TechNews

[TechNova World @TechNovaWorldai]

Are people really ready for Apple's first foldable iPhone next month? CNET readers weigh in: curiosity vs. concern on price, durability, and battery life. Foldable hype could redefine or dilute the iPhone brand. #Apple #Foldable

[José Siles | AI | Data @josesilesdata]

❌ Proyectos de IA que NO sirven de NADA:

・RAG sobre tus PDFs
・"Habla con tu documento"
・Un wrapper de LangChain
・Un chatbot con la API de OpenAI
・Fine-tuning de modelo con 200 ejemplos

✅ Lo que sí hace que te llamen ↓↓