DB @DatoBHJ
Joined October 2018-
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Ancelotti masterclass.
Ancelotti masterclass. https://t.co/X2yGwd9czl
Code and media are permissionless leverage. They're the leverage behind the newly rich. You can create software and media that works for you while you sleep.
Today, we're announcing Claude 3, our next generation of AI models. The three state-of-the-art models—Claude 3 Opus, Claude 3 Sonnet, and Claude 3 Haiku—set new industry benchmarks across reasoning, math, coding, multilingual understanding, and vision.
From now on, all the Big 5 leagues, UEL, and UCL pass maps will be automatically shared by a bot on @DBhyperdrive
Today, we are releasing Mistral Large, our latest model. Mistral Large is vastly superior to Mistral Medium, handles 32k tokens of context, and is natively fluent in English, French, Spanish, German, and Italian. We have also updated Mistral Small on our API to a model that is…
[Barça 4: 0 Getafe] #LibretaDeGus El Barça ha tenido uno de los mejores partidos que recuerde, al menos desde noviembre, mucho de ADN Barça, dinámicas asociativas, de Cubarsí, juego interior y pizarra. [Mapa de Pases] En el mapa de Pases podemos apreciar como Pau fue el…
For anyone interested in learning how to create a pass map, this blog offers an exceptional guide, complete with code.footsci.medium.com/passing-networ…
Inspired by these Yeezy 350s lol
REAL MADRID 1 - 0 SEVILLA
Un Athletic Club en el que el eje del juego fue Ruiz de Galarreta. · En el mapa de pases se ve muy claro. 📊 @DatoBHJ
Update! Node size = number of touches Line size = number of passes Node color = xT via pass Line color = xT via pass Centrality (betweenness centrality) = being key bridges or connectors within the team pass network.
Update! Node size = number of touches Line size = number of passes Node color = xT via pass Line color = xT via pass Centrality (betweenness centrality) = being key bridges or connectors within the team pass network. https://t.co/yLiv6f9k97
I loved the intro of Adama to run at tired legs as Utd threw men forward. But worried the Diop switch to 5ATB came too early Look how deep we were! Look how much space they left! OT was bonkers. Someone was getting a winner! Adama the direct outlet, Wobes the ice cool finish 🥶
markstats @markrstats
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We've been in the kitchen cooking 🔥 Excited to release the first @AIatMeta LLama-3 8B with a context length of over 1M on @huggingface - coming off of the 160K context length model we released on Friday! A huge thank you to @CrusoeEnergy for sponsoring the compute. Let us know…
Chatting with @GroqInc’s CEO @JonathanRoss321. Groq has super fast token generation capabilities now. And, I was excited also to hear about his plans to scale up capacity aggressively and also expand this to other models than just LLMs! This is a good time to be building AI…
drake actually just dropped an AI diss track on kendrick lamar, rapping as tupac, snoop dogg, and himself the simulation is broken
What a time to be alive!
Introducing Meta Llama 3: the most capable openly available LLM to date. Today we’re releasing 8B & 70B models that deliver on new capabilities such as improved reasoning and set a new state-of-the-art for models of their sizes. Today's release includes the first two Llama 3…
Meta released Llama 3 on my birthday! 🎂 Best present ever, thanks Meta! 😀
🚨 Update: We've added mixtral-8x22b-instruct to Perplexity Labs and our API!
Mixtral-8X22B is now available on Perplexity Labs! Give it a spin on labs.pplx.ai.
Es interesante observar la posición de Beñat Prados durante el partido. · Para contrarrestar en parte el posicionamiento rival. 📊 @DatoBHJ
Este se convirtió en la principal conexión de la salida del FC Barcelona. · Sabiendo de las dificultades de conectar con Cancelo en la banda izquierda (por lo menos por vía directa). Fijaros en Koundé-Yamal. 📊 @DatoBHJ
MAN CITY 3 - 1 MAN UTD
Here's a look at the Possession Recovery Before Interruption from #MCIMUN Man United lost possession in dangerous areas from the left half spaces and took 25 seconds to recover possession. Man City, well... they have Kyle Walker sweeping up, recovered 50% of the ball
Field Tilt 9.4% has to be a new record surely. Insane.
Man City 3 : 1 Man Utd ▪ xG: 2.81 - 0.14 ▪ xThreat: 2.63 - 0.55 ▪ Possession: 73.9% - 26.1% ▪ Field Tilt: 90.6% - 9.4% ▪ Def Action Height: 61.9 - 33.9 #msbot_eng #epl
In attack, that’s two games in a row we’ve seen our wide players more consistently float inside, to form a 4-3-2-1 with plenty of rotations and space for the FBs to bomb into It’s facilitated partly by good relationships and balance between Andreas/Iwobi and Reed/Wilson 🤝
This is a Premier League legend in my eyes. I will never penalise him for not moving clubs to seek trophies. There is no winger in world football whose finishing is as clean as his. And now he is even creating chances at an elite rate. I will make sure they understand his class.
AI SDK 3.0 ◆ Generative UI (alpha) ◆ Assistant Tools APIs ◆ Mistral, Azure, Perplexity, and Gemini support vercel.link/ai-sdk-3
@GuillaumeLample Congrats Guillame as always you guys are bringing heat! >We have also updated Mistral Small on our API to a model that is significantly better (and faster) than Mixtral 8x7B. Can you tell us more about this one? Will this model be open sourced 😊🫨
Inter in 2024 ➡️ 10 games, 10 wins, 26 goals, 7 clean sheets. If you are curious how they did this, here is a detailed breakdown of their gameplay 👇 youtube.com/watch?v=A9iK5-…
Barca fans complaining about Frenkie holding the ball here while I'm seeing a superstar who just made an impossible build-up situation successful, almost singlehandedly turn Napoli backwards and has teammates who are not in sync with him in the transition moment.
Arsenal's worst games this season - vs Fulham, Lens, Porto - have been against teams that use aggressive mid-blocks. Arteta perhaps erred on the side of control. His team couldn't ever get settled possession up the pitch to sustain attacks, struggled with the up-back-through pass