ViewTube

ViewTube
Sign inSign upSubscriptions
Filters

Upload date

Type

Duration

Sort by

Features

Reset

7 results

Compute Node
BitNet b1.58: The 1-Bit AI Paradigm (Why Matrix Multiplication Is Obsolete)

When you replace every floating-point matrix multiplication in a transformer with pure integer addition and subtraction, you ...

11:31
BitNet b1.58: The 1-Bit AI Paradigm (Why Matrix Multiplication Is Obsolete)

176 views

4 days ago

Pi Percent Human
How Far Can You Push Local LLMs on Just a CPU?

A seven-billion-parameter AI model, running on an ordinary processor with no graphics card, answering at 16.5 tokens a second.

5:50
How Far Can You Push Local LLMs on Just a CPU?

41 views

1 day ago

bgiant
BitNet running on RISC-V SoC including my NPU, AXON.

BitNet b1.58 2B generating text on a full RISC-V SoC on an FPGA, synthesized at 50 MHz. The SoC has a Rocket core, the Saturn ...

4:17
BitNet running on RISC-V SoC including my NPU, AXON.

1 view

20 hours ago

AI Coding Daily
I Tested Deepseek Harness vs OpenCode on 4 Coding Prompts

Deeper harness analysis in the Premium video: "Harness Battle". Round 1: Codex / OpenCode / Cursor / Devin with Luna Max ...

14:11
I Tested Deepseek Harness vs OpenCode on 4 Coding Prompts

11,917 views

4 days ago

PULGATRON91
🚨 ANÁLISIS TOTAL CRYPTO: ¿Es Bitnet ($BTN) Seguro? Wikaex, Nito, Foolp, Larisa y ZKAS a Prueba

En el vídeo de hoy hacemos un análisis exhaustivo y sin filtros sobre la salud de la red Bitnet Money ($BTN). ¿Es tan segura y ...

13:39
🚨 ANÁLISIS TOTAL CRYPTO: ¿Es Bitnet ($BTN) Seguro? Wikaex, Nito, Foolp, Larisa y ZKAS a Prueba

20 views

2 days ago

Professor Alexandre Lima
BITRADEX DID NOT RETURN! WITHDRAWALS REMAIN BLOCKED AND THE PROMISE WAS NOT KEPT!

🚨 BITRADEX IS NOT BACK! WITHDRAWALS REMAIN BLOCKED AND THE PROMISE WAS NOT KEPT! The update many investors were waiting for ...

5:32
BITRADEX DID NOT RETURN! WITHDRAWALS REMAIN BLOCKED AND THE PROMISE WAS NOT KEPT!

6,255 views

6 days ago

Panutat Tejasen
Quantization คืออะไร ทำไมรัน LLM บนเครื่องตัวเองได้ 1

LLM 8B กินแรม 16 GB แต่บีบเหลือ 5 GB แล้วยังฉลาดเกือบเท่าเดิม เบื้องหลังคือ Quantization และคลิปนี้อธิบายตั้งแต่ศูนย์ ...

14:19
Quantization คืออะไร ทำไมรัน LLM บนเครื่องตัวเองได้ 1

287 views

16 hours ago

Show more