OpenAI: GPT-6.1 Terra

{"about":"### מטרת המודל\n\nGPT-6.1 Terra הוא מודל הסקה של OpenAI עם דגש על טקסט מובן וטבעי. היצרן מפתח אותו גם לניתוח חזותי ולעבודה עם ממשקים. ב־Ailoot API הכרטיס הזה מיועד לבקשות טקסט: העבירו חומרי מקור וקבלו הסבר, טקסט מעובד או תשובה במבנה מוגדר.\n\n### טקסטים, מסמכים וחומרי עבודה\n\nאפשר להשתמש ב־Terra בתהליך עריכה: להכין טיוטה לפי נקודות, לשנות טון, לקצר או לאחד הערות מפוזרות למסמך רציף. כדי לקבל תוצאה מתאימה, הגדירו את הקהל ואת מטרת הטקסט, מנו מידע שחובה לכלול וציינו אילו ניסוחים יש לשמור. לכמה גרסאות בקשו לשנות פרמטר מסוים, למשל רמת הפירוט או אופן ההצגה לקוראים שונים.\n\nלעבודה עם מסמכים כדאי להעביר את טקסט המקור יחד עם שאלה. בקשו סיכום לפי סעיפים, השוואה בין שתי עריכות או חילוץ מידע לרשימת שדות שתוארה מראש. בהשוואת חומרים הגדירו קריטריונים: מה נחשב התאמה, אילו הבדלים חשובים וכיצד להציג את התוצאה. כך המודל מקבל משימה ברורה וקל יותר להשוות את התוצאה למקור.\n\n### הפורמט הזמין ב־Ailoot API\n\nהקלט הוא טקסט והפלט נוצר כטקסט. הממשקים הנתמכים בכרטיס כוללים Messages, Responses, Chat Completions ו־generateContent תואם Gemini. בחרו את הפורמט שבו משתמש הלקוח שלכם והעבירו בו הוראות וחומרי מקור. אם המשימה קשורה למסמך או לתמונה, בתרחיש הטקסטואלי הזה נדרש טקסט שחולץ מראש או תיאור טקסטואלי.\n\n### דוגמת תהליך עבודה\n\n1. העבירו הערות, טיוטה או טקסט מסמך.\n2. הגדירו משימה: לערוך, להסביר, להשוות או לארגן.\n3. ציינו קהל, מגבלות ומבנה תשובה.\n4. בדקו את הטקסט שהתקבל מול נתוני המקור וחדדו מקומות שבהם דרושה רמת פירוט אחרת.\n\nהתהליך מתאים להוראות, למסמכי מידע פנימיים, לתיאורים ולמזכרים אנליטיים שבהם חשובים ניסוח ברור ועבודה עם החומר 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