SShortSingh.
TopTechnologyAI & MLStartupsProgrammingScienceBusinessFinanceCrypto & Web3World
Back to feed
Programming

VIDRAFT's NL2SQL Engine Scores 83.80 on BIRD Mini-Dev, Surpassing Current Top Entry

0
·3 views

VIDRAFT's text-to-SQL system, Darwin-180B-NL2SQL, reached 83.80% execution accuracy on BIRD Mini-Dev, a compact official leaderboard for the widely cited BIRD benchmark, edging past the listed top score of 81.00. The company says it used no gold SQL and no fine-tuning, and it has published its predictions and scorer while submitting the result to the BIRD team for listing. A prediction counts as correct only when its query returns exactly the same rows as the reference query, and human data engineers score roughly 93 on the same benchmark. VIDRAFT also released a public demo in Korean and English that converts plain-language questions into verified SQL, tables, charts, and reports, with safeguards such as read-only access and query limits. The company notes that the engine itself is not being released and that it is preparing a submission to the main BIRD test set, which is evaluated on a hidden dataset.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

NVIDIA releases Nemotron 3.5 Transcribe for local, single-GPU speech transcription in 40 languages

NVIDIA's Nemotron 3.5 Transcribe can run on a single GPU to transcribe hour-long recordings in 40 languages without per-minute fees or sending audio to outside servers. The model tops the Hugging Face Open ASR Leaderboard among open-weight models and is licensed under OpenMDW-1.1, which permits commercial use. NVIDIA published BF16, FP8, and NVFP4 weights on its October 28, 2026 release date. The guide covers hardware requirements, three ways to run the model (vLLM, SGLang-Omni, and Transformers), and common setup mistakes. Hardware compatibility depends on the GPU, and 24GB cards and Apple Silicon are not supported.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Template Literals Favored Over + and .join() for JavaScript String Concatenation

A DEV Community article compares three ways to join strings in JavaScript: template literals, the + operator, and Array.join(). It recommends template literals as the default choice for most cases because they are readable, avoid quote escaping, and support multi-line strings. The + operator is described as suitable for simple single-line combinations, while .join() suits large loops or building strings from arrays. The author notes that older browsers made + slow in loops, but modern engines like V8 optimize it, so template literals and + are generally fast enough for everyday use. The piece also promotes a client-side utility for converting between concatenation styles.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

New DNSSEC guidance requires DS automation to verify CDS and CDNSKEY across all nameservers

RFC 10026, published in July 2026 as BCP 246, sets out operational recommendations for automating DNSSEC Delegation Signer updates. It requires that CDS and CDNSKEY records be consistent with each other and across every authoritative nameserver for a delegation, and that the resulting DS set would still permit validation. If either check fails, the parent must cancel the change. The author has published a standard-library Python script implementing these checks, which was run on 29 October 2026 against four zones publishing CDS records. The script builds on RFC 7344, RFC 9975 and RFC 8078, which define acceptance rules, consistency tests and the delete signal.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Running NVIDIA's Nemotron 3.5 Transcribe Locally on a Single GPU

A DEV Community guide explains how to run NVIDIA's open-weight Nemotron 3.5 Transcribe model on one GPU to transcribe hour-long audio files in 40 languages. The model, released October 28, 2026 under the commercially usable OpenMDW-1.1 license, currently tops the Hugging Face Open ASR leaderboard. The article argues local deployment avoids per-minute API fees, which it says can total about $1,200 for 10,000 hours, and keeps sensitive recordings within a user's own network. It covers hardware compatibility across NVIDIA GPUs, the BF16, FP8, and NVFP4 checkpoints, and three runtimes: vLLM, SGLang-Omni, and Transformers. The guide also notes that Apple Silicon and 24 GB cards like the RTX 4090 are unsupported.

0 comments Read more at DEV Community