hackintoshrao
Re:Conflict-Free Distributed Architecture for Append-Only Writes to Ap...
on Thursday March 20, 2025 @02:00PM (#43426649)
Scaling Iceberg Writes with Confidence: A Conflict-Free Distributed Architecture for Fast, Concurrent, Consistent Append-Only Writes
Fast Distributed Iceberg Writes and Queries with Apache Arrow IPC
Re:Invisible State Machines in Rust: Navigating Rust's Impl Future Ret...
on Monday January 27, 2025 @10:37PM (#42848594)
Discover how compiler-generated futures work behind the scenes—and why they’re both powerful and perplexing.
Invisible State Machines in Rust: Navigating Rust's Impl Future Return Types
Rust Sub-Reddit Thread Around When(and When Not) to Wrap Heap Data in a Box
No Extra Boxes, Please: When (and When Not) to Wrap Heap Data in a Box in Rust
Why/how of capturing variables inside closure running in a new thread in Rust
Why Table/Stream Duality on Apache Iceberg Will Redefine the ETL Market in 2025?
How Apache Arrow can help get the best out of SIMD processing
Re:ASK HN: Is Ray the Ideal Framework for Distributed LLM Training and...
on Wednesday October 02, 2024 @05:29PM (#41725133)
I just published a blog exploring "Is Apache Ray the Ideal Framework for Distributed LLM Training and Inference?"
Given that reinforcement learning (RL) requirements heavily influenced Apache Ray's architecture, could this focus hinder optimal performance for large language model (LLM) workloads? I've shared some thoughts and would love to hear your insights.
I'm particularly interested in feedback from the Apache Ray and Anyscale communities and anyone working with LLMs and distributed computing.
ASK HN: Is Ray the Ideal Framework for Distributed LLM Training and Inference?
Re:Show HN: Agentpanel – Universal LLM API Written in Rust
on Wednesday June 26, 2024 @11:26PM (#40806895)
Thank you. Yes, almost all LLM APIs have the same roles. Let me know your thoughts once you try the project.
Show HN: Agentpanel – Universal LLM API Written in Rust
https://github.com/IncredibleDevHQ/agent-panel
Agentpanel is an observability platform for optimizing the control flow, performance, token usage, and correctness of LLM/AI agents!Built-in @rustlang, the first release of Agent Panel currently features an AI gateway that provides seamless access to 100+ LLMs across 20+ platforms, including OpenAI GPT-4o, Gemini 1.5 Pro latest, AnthropicAI Claude 3.5, MistralAI, Cohere, Groq,Perplexity AI, and...
Re:My notes on working of CPU profiler
on Sunday June 05, 2022 @02:39AM (#31628604)
Does the memory profiler also works the same way?
Re:WebAssembly 101: A developer’s first steps (2017)
on Sunday June 05, 2022 @02:36AM (#31628595)
This is very useful resource for a beginner, thanks for sharing.
Show HN: Create interactive developer videos by integrating codesandbox, Repl.it
YouTube series: Let it Rust: Video version of the official Rustbook docs
The state of Deep learning in Golang
Re:How to design GraphQL Schemas: 101
on Monday April 20, 2020 @03:24AM (#22921872)
Hey everyone,
I'm the author of this post, this post talks about an intuitive process to design GraphQL schemas and to autogenerate GraphQL APIs using the schema file as an input with Dgraph.
Happy to answer any questions.