Aslam

Generative AI | LLM | Agents | NLP | Gen AI Solutions Expert

[Prof Sumathi @ProfSumathi]

Dear Nida Khan,

As an Indian Hindu woman, I lower my head in deep remorse for the suffering you have faced. Such pain cannot be confined to one faith; it resonates within the shared conscience of us all. When a woman is forced to carry fear along with the life she nurtures, it is the world itself that has failed her.

In moments like these, silence becomes another kind of wound, unseen, yet deeply felt. The absence of words can weigh more heavily than those spoken in cruelty. For that silence, I carry a lingering sorrow.

Yet sorrow must not remain passive. It must stir us into voices that do not waver and into acts of support that do not retreat. Beyond all religious divides lies a common humanity that urges us to stand together.

In that spirit, I stand with you saddened, humbled, and determined that no one should ever have to endure such isolation again.

I am truly sorry.

[Aslam @codingaslu]

@MrKnightjegan Link?

[Aslam @codingaslu]

ContextGram: ContextGram makes email management effortless with AI for smarter customer… https://t.co/gKgjMCqpVt via @producthunt

[Aslam @codingaslu]

@langchain @qdrant_engine @llama_index @cerebras Join our beta and help shape the future of Al-driven email replies. Sign up here

https://t.co/k3Csrjvmbt

[Aslam @codingaslu]

Is your inbox overflowing with customer inquiries? Meet ContextGram – the AI-powered assistant that turns your docs into ready-to-send email replies in seconds. #EmailAutomation #AI

[Aslam @codingaslu]

@langchain @qdrant_engine @llama_index @cerebras We're launching our beta and want YOU to help shape the future of AI-driven email replies. Early adopters get exclusive access, direct feedback channels, and a chance to influence upcoming features. #BetaTest #EarlyAdopters

[Aslam @codingaslu]

Is your inbox overflowing with customer inquiries? Meet ContextGram – the AI-powered assistant that turns your docs into ready-to-send email replies in seconds. #EmailAutomation #AI

[Aslam @codingaslu]

What’s your biggest headache when managing customer emails? Drop your thoughts below—let’s solve it together! 👇 #CustomerSupport #Feedback

[Aslam @codingaslu]

Speed matters in AI. That’s why ContextGram now runs on @cerebras, delivering blazing-fast email replies. 🚀 Faster replies = happier customers. Try it here:https://t.co/uB349DPJbg

[Aslam @codingaslu]

Built https://t.co/EU6qqEuohk to generate AI-powered email replies from uploaded documents.

This demo showcases AI-generated replies based on a document explaining how ContextGram works.

@langchain
@qdrant_engine
@llama_index
@cerebras

#AI #Agents #EarlyAdopters

[Aslam @codingaslu]

ContextGram now runs on @cerebras for ultra-fast AI-generated email replies! ⚡️ Upload docs → AI drafts replies → You send. Try it here: https://t.co/uB349DPJbg

#AI #LLMs

[Aslam @codingaslu]

Upload a document → AI drafts email replies → You review & send. Saves hours on support & product inquiries. Try it here: https://t.co/uB349DPJbg

[Aslam @codingaslu]

Check out my latest article: The Rise of Reasoning LLMs: DeepSeek R1 & OpenAI o1 Explained https://t.co/coNGYhXvuT via @LinkedIn

[Aslam @codingaslu]

I just earned the Gone streaking 100 badge. Check out the rest of my profile on @producthunt https://t.co/YMyY8tJk4S

[Aslam @codingaslu]

✨ V-RAG sets new benchmarks for vision-language reasoning, handling up to 1,000 documents with precision. From 9-11% better recall to scaling real-world retrieval, the future of multimodal AI is here. Dive in👇
👉 Read more on https://t.co/J2zDnuVEnw

[Aslam @codingaslu]

5/5 GraphRAG offers a comprehensive view of the data landscape, changing the game for complex information retrieval and analysis. #GraphRAG #AI #DataScience

[Aslam @codingaslu]

1/5 Microsoft-GraphRAG: Revolutionizing information retrieval 🌐
Why GraphRAG? It creates a sophisticated knowledge graph mapping relationships between data, ideal for complex, global queries. Traditional RAG struggles here.

[Aslam @codingaslu]

4/5 Promising for: 📚 Research 🎓 Education 🔍 Everyday information retrieval
Challenges: 📈 Scaling for massive datasets 🔄 Integration with existing systems 🤖 Managing LLM dependencies