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Show HN: finetune LLMs via the Finetuning Hub https://ift.tt/Al6f4Tw Show HN: finetune LLMs via the Finetuning Hub https://ift.tt/Al6f4Tw Reviewed by Manish Pethev on September 04, 2023 Rating: 5
Show HN: Rapidgzip – Truly Parallel Gzip Decompression with 10 GB/s https://ift.tt/X4pgeQz Show HN: Rapidgzip – Truly Parallel Gzip Decompression with 10 GB/s https://ift.tt/X4pgeQz Reviewed by Manish Pethev on September 04, 2023 Rating: 5
Show HN: FileSamplesHub – Free sample files to all your testing purposes https://ift.tt/HT71aDC Show HN: FileSamplesHub – Free sample files to all your testing purposes https://ift.tt/HT71aDC Reviewed by Manish Pethev on September 04, 2023 Rating: 5
Show HN: The simplest way to validate your idea https://ift.tt/VplWB6h Show HN: The simplest way to validate your idea https://ift.tt/VplWB6h Reviewed by Manish Pethev on September 04, 2023 Rating: 5
Show HN: MonoDevelop https://ift.tt/k2ryRHW Show HN: MonoDevelop https://ift.tt/k2ryRHW Reviewed by Manish Pethev on September 04, 2023 Rating: 5
Show HN: FeedsBot – A Meower bot that posts RSS feed updates to groupchats https://ift.tt/Nep7zh6 Show HN: FeedsBot – A Meower bot that posts RSS feed updates to groupchats https://ift.tt/Nep7zh6 Reviewed by Manish Pethev on September 04, 2023 Rating: 5
Show HN: Llama2.f90 – Toy LLaMA2 model inference in Fortran https://ift.tt/9gF5VcD Show HN: Llama2.f90 – Toy LLaMA2 model inference in Fortran https://ift.tt/9gF5VcD Reviewed by Manish Pethev on September 04, 2023 Rating: 5

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