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5 Techniques for Fine-Tuning LLMs Without Breaking the Bank
Learn five practical ways to fine-tune LLMs on a budget, from LoRA and QLoRA to Unsloth, DPO, and right-sizing your GPU, with working code for each technique. A team gets a quote from a vendor: fifty thousand dollars to build them a "custom AI model" trained on their support tickets. Someone on the team, skeptical, spends a weekend testing the actual technique that quote was based on. The real GPU bill comes out under ten dollars. That gap isn't a rounding error, and it isn't unusual.
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Google Cloud launches Gemini for healthcare.
Google Cloud has announced Gemini for healthcare, an AI solution engineered to unify fragmented clinical, operational, and administrative systems. Moving beyond simple information retrieval, it enables healthcare teams to turn siloed data into coordinated action. Clinicians lose nearly 28 hours each week to paperwork and administrative tasks, fueling burnout and straining budgets.
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Anthropic kicks off IPO roadshow, offering shares at $70 to $78 and targeting a trillion-dollar valuation
Anthropic is kicking off its IPO roadshow, targeting a valuation of up to $1.02 trillion. Beyond the public offering of up to $64.4 billion, the company is securing $26 billion through a private placement with Google, Nvidia, Microsoft, and other major tech firms as anchor investors. The IPO comes at a time when investors are growing increasingly skeptical of AI investments. The article Anthropic kicks off IPO roadshow, offering shares at $70 to $78 and targeting a trillion-dollar valuation appeared first on The Decoder.
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Anthropic's Fable 5.2 completes 41 percent of real freelance jobs, up from 2.5 percent a year ago
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Google DeepMind's Gemini Robotics 2.5 scores 96 percent sorting metal parts in a Mercedes-Benz assembly pilot
Google Deepmind introduced Gemini Robotics 2.5, a new control model for robots, and tested it with Apptronik on active Mercedes-Benz production lines in Hungary and Germany. The humanoid robot Apollo 2 sorted metal parts there with a reported success rate of 96 percent. The article Google DeepMind's Gemini Robotics 2.5 scores 96 percent sorting metal parts in a Mercedes-Benz assembly pilot appeared first on The Decoder.