Meta just dropped LLaMA 4, and it’s not here to do autocomplete — it’s here to out-think, out-reason, and out-memory your entire toolchain.
This isn’t your average "incremental update."
This is a 𝟮𝟱𝟲𝗞-𝘁𝗼𝗸𝗲𝗻, 𝗙𝗹𝗮𝘀𝗵 𝗔𝘁𝘁𝗲𝗻𝘁𝗶𝗼𝗻 𝟮.𝟬, 𝗺𝘂𝗹𝘁𝗶-𝗺𝗼𝗱𝗮𝗹 𝗽𝗿𝗲𝗽𝗽𝗲𝗱, 𝗳𝗶𝗻𝗲-𝘁𝘂𝗻𝗲𝗮𝗯𝗹𝗲 𝗺𝗼𝗻𝘀𝘁𝗲𝗿 that can hold more context than your entire project backlog.
🔍 𝗪𝗵𝗮𝘁’𝘀 𝗨𝗻𝗱𝗲𝗿 𝘁𝗵𝗲 𝗛𝗼𝗼𝗱?
👉🏽𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗿 𝗨𝗽𝗴𝗿𝗮𝗱𝗲𝘀:
GQA (Grouped-Query Attention) for massive speed boosts
Rotary embeddings for extended context comprehension
Flash Attention v2: 2x faster, 50% less memory overhead
👉🏽𝗟𝗼𝗻𝗴 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 = 𝗟𝗲𝘀𝘀 𝗥𝗔𝗚:
Say goodbye to overengineered retrieval systems. Just feed it a 400-page doc — it’ll still remember what you asked on page 3.
👉🏽𝗖𝗼𝗱𝗲 𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴?
On par with GPT-4 in HumanEval. Fine-tuned variants crush function-calling and structured JSON outputs.
👉🏽𝗠𝘂𝗹𝘁𝗶-𝗠𝗼𝗱𝗮𝗹𝗶𝘁𝘆?
Not released (yet), but hints of image+text training baked in.
⚖️
𝗕𝘂𝘁 𝗛𝗲𝗿𝗲’𝘀 𝘁𝗵𝗲 𝗖𝗮𝘁𝗰𝗵:
👉🏽𝗢𝗽𝗲𝗻 𝗪𝗲𝗶𝗴𝗵𝘁" ≠ 𝗢𝗽𝗲𝗻 𝗨𝘀𝗲
👉🏽𝗔𝗰𝗰𝗲𝘀𝘀 𝗼𝗻𝗹𝘆 𝗮𝗳𝘁𝗲𝗿 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻
👉🏽𝗨𝘀𝗮𝗴𝗲 𝗿𝗲𝘀𝘁𝗿𝗶𝗰𝘁𝗲𝗱 𝘁𝗼 𝗻𝗼𝗻-𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗶𝗮𝗹 𝗼𝗿 𝗮𝗰𝗮𝗱𝗲𝗺𝗶𝗰 𝘀𝗲𝘁𝘁𝗶𝗻𝗴𝘀
No hosted API (yet), so you better have a few A100s lying around
👉🏽𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗗𝗮𝘁𝗮:
Still unclear. Possibly web-scale, Reddit, GitHub, academic papers, and… maybe your private diary?
👉🏽𝗟𝗲𝗴𝗮𝗹 𝗠𝗮𝘇𝗲:
It’s “open” like a gated community is “public.” The gate’s just made of paperwork.
🔧 𝗧𝗼𝗼𝗹 𝗣𝗹𝘂𝗴: 𝗟𝗧𝗫 𝗦𝘁𝘂𝗱𝗶𝗼
AI-native creative toolset — scriptwriting, image gen, voiceover, video scenes.
LLaMA4 MetaAI LargeLanguageModels AIResearch OpenSourceAI ContextLength AIModels MachineLearning GenerativeAI NLP TechInnovation AICommunity FutureOfAI LLMs DeveloperTools
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