▲ 417 ▼ ChatGPT's market share slips below 50% for first time (techcrunch.com) submitted 1 month ago by sanitation@lemmy.today to c/technology@lemmy.world 82 comments fedilink hide all child comments
[+] placebo@lemmy.zip 1 point 1 month ago (2 children) [deleted] permalink fedilink source parent hideshow 4 child comments replies: [–] TorstenTyp@feddit.nu 2 points 1 month ago (1 child) I see, that’s about the time they all got so good that I stopped trying to keep up with the latest benchmarks. It works perfectly for my needs so I definitely wouldn’t dismiss it for anyone wanting to switch to a European alternative. permalink fedilink source parent hideshow 2 child comments replies: [+] placebo@lemmy.zip 1 point 1 month ago (1 child) [deleted] permalink fedilink source parent hideshow 2 child comments replies: [–] Jiral@lemmy.world 1 point 1 month ago* (last edited 1 month ago) Mistral has recently shown a good trajectory of improvement. It is already an important thing that there is a European mid range open weight model that can compete. (Frontier models need a lot more resources, it is important to compare apples with apples) This is good enough for many applications were data security and sovereignity are prime concerns. Of course, it would be good to have a frontier model, lets see how Large 4 will perform when we get there. permalink fedilink source parent [–] onnekas@sopuli.xyz 2 points 1 month ago* With the results of chat out of the box I kind of agree with you that mistral feels behind. However, there are some features that I really like and make the experience even better than chatgpt. Agents are pretty cool and with some setup produce very good results managing libraries for documents/context is better than in ChatGPT. Also adding specific libraries to agents is nice. Scheduling tasks has just been added and I want to try that out. (I have never tried the paid version of any LLM chat so I can only compare free tiers) permalink fedilink source parent
[–] TorstenTyp@feddit.nu 2 points 1 month ago (1 child) I see, that’s about the time they all got so good that I stopped trying to keep up with the latest benchmarks. It works perfectly for my needs so I definitely wouldn’t dismiss it for anyone wanting to switch to a European alternative. permalink fedilink source parent hideshow 2 child comments replies: [+] placebo@lemmy.zip 1 point 1 month ago (1 child) [deleted] permalink fedilink source parent hideshow 2 child comments replies: [–] Jiral@lemmy.world 1 point 1 month ago* (last edited 1 month ago) Mistral has recently shown a good trajectory of improvement. It is already an important thing that there is a European mid range open weight model that can compete. (Frontier models need a lot more resources, it is important to compare apples with apples) This is good enough for many applications were data security and sovereignity are prime concerns. Of course, it would be good to have a frontier model, lets see how Large 4 will perform when we get there. permalink fedilink source parent
[+] placebo@lemmy.zip 1 point 1 month ago (1 child) [deleted] permalink fedilink source parent hideshow 2 child comments replies: [–] Jiral@lemmy.world 1 point 1 month ago* (last edited 1 month ago) Mistral has recently shown a good trajectory of improvement. It is already an important thing that there is a European mid range open weight model that can compete. (Frontier models need a lot more resources, it is important to compare apples with apples) This is good enough for many applications were data security and sovereignity are prime concerns. Of course, it would be good to have a frontier model, lets see how Large 4 will perform when we get there. permalink fedilink source parent
[–] Jiral@lemmy.world 1 point 1 month ago* (last edited 1 month ago) Mistral has recently shown a good trajectory of improvement. It is already an important thing that there is a European mid range open weight model that can compete. (Frontier models need a lot more resources, it is important to compare apples with apples) This is good enough for many applications were data security and sovereignity are prime concerns. Of course, it would be good to have a frontier model, lets see how Large 4 will perform when we get there. permalink fedilink source parent
[–] onnekas@sopuli.xyz 2 points 1 month ago* With the results of chat out of the box I kind of agree with you that mistral feels behind. However, there are some features that I really like and make the experience even better than chatgpt. Agents are pretty cool and with some setup produce very good results managing libraries for documents/context is better than in ChatGPT. Also adding specific libraries to agents is nice. Scheduling tasks has just been added and I want to try that out. (I have never tried the paid version of any LLM chat so I can only compare free tiers) permalink fedilink source parent