@erik_plm: Una verdad de muchos #humor #comedia #cerveza

erikje

Open In TikTok:

Region: ES

Monday 05 August 2024 17:13:40 GMT

699736

103379

81

22531

Music

Download

No Watermark .mp4 (0.66MB) No Watermark(HD) .mp4 (0.42MB) Watermark .mp4 (0.69MB) Music .mp3

Comments

Marissa Ch :

yo justificandome

2024-08-05 18:13:22

101

markitos :

o peores incluso

2024-08-06 15:23:56

40

Yoli Obelmejias :

No le veo fallas a su lógica

2024-08-05 17:49:30

27

viviana_c :

Comenzando porque estando sobria hubiera tomado las mismas decisiones jajaja

2024-08-07 02:38:57

5

erikje :

Prefiero echarle la culpa de mis malas decisiones a mi yo borracho

2024-08-05 17:31:49

3

Femmeutopique :

@Juls @Ana @analokilla16 🙃

2024-08-29 19:47:02

3

... :

Me gusta más esa manera de pensar

2024-08-05 17:22:16

2

𝖄𝖆𝖟𝖒𝖎🪬 :

@𝐌𝐨𝐧𝐢𝐤𝐚🪬 @aitana

2024-08-08 12:00:49

2

Kirian Henriquez :

somos dossssss

2024-08-13 15:38:56

1

danielleisispa🐋💨 :

iwal o viceverza.. la cuestión es no arrepentirse..a lo exo pexo 🧐

2024-08-08 03:21:55

1

Eira Sanchez101 :

@Quetza 🤍

2024-08-06 20:17:14

1

jenniillc :

@Vanessa

2024-08-06 20:32:19

1

𝔐𝔞𝔯í𝔞🦋 :

@Laura Fernández Contreras @𝐸𝑟𝑖𝑘𝑎 𝐶𝑎𝑟𝑟𝑎𝑠𝑐𝑜

2024-08-06 22:04:05

1

Carmen♧ :

😂😂😂😂😂

2024-08-09 12:20:37

1

cristinafernandez998 :

😂😂😂

2024-08-07 17:22:22

1

D⁷💜 :

Casi que son peores las que he tomado sobria que estando borracha 🤣🤣

2024-08-08 12:15:03

1

𝓐 𝓝 𝓖 𝓔 𝓛 :

@Airam viverosrico

2024-08-08 08:30:56

1

Maii♡ :

@pablocastro5877

2024-08-08 04:38:33

1

patrii :

@carmeen @Natalia

2024-08-08 04:34:38

1

Aida :

@hannahluque

2024-08-08 02:50:55

1

C H A R . :

@Nooa Marchal yo

2024-08-21 13:56:35

1

Pablo Steinberg445 :

@tina

2024-08-06 15:55:01

1

Vero Rodriguez Atencia :

totalmente!!!!😂😂

2024-08-06 13:10:19

1

:)🤙 :

@Julián Cota

2024-08-19 07:02:30

1

Vania Diaz Guarderas :

Yo en mi vida JAJAJA

2024-08-08 21:43:50

0

To see more videos from user @erik_plm, please go to the Tikwm homepage.

Other Videos

Chuyện tình tôi #nhacnaycodangnghe #1967ent #xuhuong

Chuyện tình tôi #nhacnaycodangnghe #1967ent #xuhuong

que me creció el pelo #anuel #anuelaa #paratii #foryoupage #foryou

que me creció el pelo #anuel #anuelaa #paratii #foryoupage #foryou

BUY MORE XRP!! INVEST IN XRP! Potential coin! #xrp #RippleXRP #xrpcrypto #trend

BUY MORE XRP!! INVEST IN XRP! Potential coin! #xrp #RippleXRP #xrpcrypto #trend

$Here are the 9 terms you actually need to know in 2026. 1. Context window How much text a model can hold in working memory at once. Bigger isn’t always better. More on that in a second. 2. Context collapse What happens when you stuff too much into the window. The model loses the plot. Recall drops. Quality tanks. The fix isn’t a bigger window. It’s better curation. 3. Guardrails The rules and filters constraining what a model can say or do. Before generation, during generation, after generation. If you’re shipping AI to customers without them, you’re shipping a liability. 4. Evals Structured tests that measure model performance on actual tasks. Not vibes. Not demos. If your team can’t show you their evals, they’re guessing. 5. GraphRAG Retrieval-augmented generation built on a knowledge graph instead of isolated text chunks. The difference: vector RAG finds passages. GraphRAG follows relationships. Multi-hop reasoning lives here. It’s why Gartner just flagged it as a critical enabler for GenAI. 6. Inference Running a trained model to produce outputs. This is where your AI bill actually comes from. Training is a one-time investment. Inference is the rent. 7. Chunking How documents get split before retrieval. Sounds boring. Quietly destroys most RAG systems. Fixed-size chunking ignores meaning. Semantic chunking respects it. Often the difference between AI that works and AI that hallucinates. 8. KV cache The stored key-value tensors from attention that let models skip recomputing past tokens. This is what fills up in long-context workloads. It’s also what’s driving your inference cost. Long context isn’t free. The KV cache is the receipt. 9. Quantization Shrinking a model by lowering the numerical precision of its weights. FP16 to INT8 to INT4. Same model, fraction of the memory, almost the same accuracy. It’s why the gap between frontier and open source keeps closing.$
Here are the 9 terms you actually need to know in 2026. 1. Context window How much text a model can hold in working memory at once. Bigger isn’t always better. More on that in a second. 2. Context collapse What happens when you stuff too much into the window. The model loses the plot. Recall drops. Quality tanks. The fix isn’t a bigger window. It’s better curation. 3. Guardrails The rules and filters constraining what a model can say or do. Before generation, during generation, after generation. If you’re shipping AI to customers without them, you’re shipping a liability. 4. Evals Structured tests that measure model performance on actual tasks. Not vibes. Not demos. If your team can’t show you their evals, they’re guessing. 5. GraphRAG Retrieval-augmented generation built on a knowledge graph instead of isolated text chunks. The difference: vector RAG finds passages. GraphRAG follows relationships. Multi-hop reasoning lives here. It’s why Gartner just flagged it as a critical enabler for GenAI. 6. Inference Running a trained model to produce outputs. This is where your AI bill actually comes from. Training is a one-time investment. Inference is the rent. 7. Chunking How documents get split before retrieval. Sounds boring. Quietly destroys most RAG systems. Fixed-size chunking ignores meaning. Semantic chunking respects it. Often the difference between AI that works and AI that hallucinates. 8. KV cache The stored key-value tensors from attention that let models skip recomputing past tokens. This is what fills up in long-context workloads. It’s also what’s driving your inference cost. Long context isn’t free. The KV cache is the receipt. 9. Quantization Shrinking a model by lowering the numerical precision of its weights. FP16 to INT8 to INT4. Same model, fraction of the memory, almost the same accuracy. It’s why the gap between frontier and open source keeps closing.

— sao thíi #yuki #itsuomi #asignofaffection #xh #fyp #wyneth

— sao thíi #yuki #itsuomi #asignofaffection #xh #fyp #wyneth

About

Robot
API

Legal

Privacy Policy