maheshvaikri99

6 ms·

1.
by maheshvaikri99 8mo ago
https://github.com/snapllm/snapllm
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SnapLLM: Switch between local LLM in under 1ms Multi-model&-modal serving engine(github.com)
1 points by maheshvaikri99 8mo ago|2 comments
3.
by maheshvaikri99 8mo ago
Hey everyone, I've been working on SnapLLM for a while now and wanted to share it with the community. The problem: If you run local models, you know the pain. You load Llama 3, chat with it, then want to try Gemma or Qwen. That means u
4.
by maheshvaikri99 9mo ago
Published the Benchmark with Results https://ison.dev/benchmark.html https://github.com/maheshvaikri-code/ison/tree/main/benchmar...
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by maheshvaikri99 9mo ago
Token Efficiency | Format | Tokens | vs JSON | |--------------|--------|----------| | ISONGraph | 639 | -69% | | ISON | 685 | -66% | | TOON | 856 | -58% | | JSON Compact | 1,072
6.
by maheshvaikri99 9mo ago
Fair enough. Let me clarify the use case: ISON isn't meant to replace JSON in your application. Your JS/TS code still uses JSON objects internally. ISON is specifically for the LLM context window. The flow: App (JSON) → serialize
7.
by maheshvaikri99 9mo ago
Full raw benchmark logs published: https://github.com/AceIQ360/AceIQ360-Benchmark Unlike others who only share top-line numbers, I published every question, answer, and judgment. You can verify the 100% claim yourself.
8.
by maheshvaikri99 9mo ago
Yes - I ran a 300 Questions benchmark comparing ISON vs JSON vs JSON-COMPACT etc on the same tasks. ISON: 88.3% accuracy JSON: lower (can share exact numbers if interested) Tested across Claude, GPT-4, DeepSeek, and Llama 3. The key finding
9.
by maheshvaikri99 9mo ago
Ha, fair. CSV gets you 80% there. The 20% ISON adds: - Multiple named tables in one doc - Cross-table references - No escaping hell (quoted strings handled cleanly) - Schema validation (ISONantic) If you're stuffing one flat table into
10.
by maheshvaikri99 9mo ago
Essentially yes, but with a few additions CSV lacks: 1. Multiple tables in one document (table.users, table.orders) 2. References between tables (:user:42 links to id 42) 3. Object blocks for config/metadata 4. Streaming format (ISONL)
11.
by maheshvaikri99 9mo ago
Hi Thanks Benchmark results and methodology here: https://github.com/AceIQ360/AceIQ360-Benchmark The full system isn't open source yet - still deciding on licensing. But the benchmark repo has: - Complete results
12.
by maheshvaikri99 9mo ago
Fair point, but I'd push back on "none of these alternative formats exist in training data." ISON isn't inventing new syntax. It's CSV/TSV with a header - which LLMs have seen billions of times. The table forma
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Show HN: ISON – Data format that uses 30-70% fewer tokens than JSON for LLMs(github.com)
7 points by maheshvaikri99 9mo ago|14 comments
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Show HN: MAPLE – Multi-agent protocol with resource-aware scheduling(github.com)
1 points by maheshvaikri99 9mo ago|0 comments
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Show HN: AceIQ360 – First AI memory system to achieve 100% on LongMemEval
2 points by maheshvaikri99 9mo ago|3 comments