15:[[43196695,{"by":"kapitalx","descendants":2,"id":43196695,"kids":[43197039,43196744],"score":5,"time":1740678903,"title":"Why OpenAI Models Struggle with PDF Extraction(and Why Gemini Fairs Much Better)","type":"story","url":"https://medium.com/@abasiri/why-openai-models-struggle-with-pdfs-and-why-gemini-fairs-much-better-ad7b75e2336d"}],[43036763,{"by":"ban-lan-gen","descendants":0,"id":43036763,"kids":[43036764],"score":1,"time":1739460182,"title":"HBF for GPUs","type":"story","url":"https://www.tomshardware.com/pc-components/dram/sandisks-new-hbf-memory-enables-up-to-4tb-of-vram-on-gpus-matches-hbm-bandwidth-at-higher-capacity"}],[38341708,{"by":"thunderbong","descendants":30,"id":38341708,"kids":[38351163,38348868,38348713,38348934,38350935,38347126,38349824,38349315,38349009,38349021,38348054],"score":104,"time":1700449140,"title":"RustGPT: ChatGPT UI Built with Rust, Htmx, SQLite","type":"story","url":"https://github.com/bitswired/rustgpt"}],[37419864,{"by":"spansoa","descendants":494,"id":37419864,"kids":[37427354,37427833,37420330,37420056,37430483,37429557,37422618,37429408,37427444,37426287,37420293,37426414,37429906,37428931,37428955,37420700,37427040,37426997,37420623,37428826,37432102,37427387,37428654,37432615,37427745,37431736,37426362,37433060,37422113,37430091,37426321,37428580,37420232,37430327,37426753,37431046,37429139,37429598,37436469,37427723,37438027,37428501,37426622,37427140,37430955,37427193,37432357,37428255,37420301,37434576,37430199,37428425,37420172,37426282,37426309,37427045,37426351,37429141,37431688,37427405,37426841,37427343,37427787,37421181,37427007,37430416,37420480,37429550,37432523,37428643,37429318,37431801,37420121,37425541,37429256,37421713,37427225,37421375,37426815,37444936,37427359,37420875,37429803,37425540,37427344,37432006,37430947,37429170],"score":242,"time":1694098739,"title":"Are any words the same in all languages?","type":"story","url":"https://blog.duolingo.com/words-shared-in-all-languages/"}],[37438632,{"by":"ij23","descendants":1,"id":37438632,"kids":[37438870],"score":6,"time":1694203092,"title":"EvaDB – SQL Queries Using Hugging Face, Open AI, Ultralytics, PyTorch","type":"story","url":"https://github.com/georgia-tech-db"}],[37433104,{"by":"andsoitis","descendants":14,"id":37433104,"kids":[37440357,37439237,37439501,37443185,37436318,37439236,37439299,37441812],"score":89,"time":1694179121,"title":"Why walking helps us think","type":"story","url":"https://www.newyorker.com/tech/annals-of-technology/walking-helps-us-think"}],[37432896,{"by":"zainhoda","descendants":12,"id":37432896,"kids":[37435230,37435184,37441091,37440457,37435071,37432966,37434958],"score":33,"text":"Hey there HN!

We've just open-sourced Vanna – a Python package that allows you to transform questions into SQL. We've leveraged LLMs to enable you to "ask" databases what you need, bypassing the need to "write" complex SQL.

Quick Overview:

- "Train" using DDL statements, documentation, or known correct SQL statements.

- "Ask" questions in natural language and receive SQL, tables, and charts in return.

- Open Source Flexibility: Swap storage mechanisms, customize LLMs, and choose your databases.

- Local or Hosted: Operate everything locally or use our hosted version for free (including complimentary LLM calls).

- Use it wherever Python is applicable. We provide code examples for integration in Jupyter, Streamlit, Slack, and more.

We would greatly appreciate your feedback, insights on issues, and contributions:

https://github.com/vanna-ai/vanna","time":1694177884,"title":"Show HN: Vanna AI – Open-sourced text-to-SQL in Python","type":"story","url":"https://vanna.ai/blog/vanna-open-source.html"}]]

1.	Ask HN: How to store KV cache efficiently on disk? 1 points by ban-lan-gen 1 year ago \| 0 comments
2.	Dataflow Execution in GPU(arxiv.org) 3 points by ban-lan-gen 1 year ago \| 0 comments
3.	HBF for GPUs(tomshardware.com) 1 points by ban-lan-gen 1 year ago \| 0 comments

user:	ban-lan-gen
created:	April 15, 2021
karma:	6